Laurent Berger
commited on
Commit
·
c5ec220
1
Parent(s):
43ce9de
add mobilenet c++ sample (#171)
Browse files* add mobilenet c++ sample
* review 1
* use blobFromImageWithParams
* change int in dnn::Backend, dnn::Target
* review 2
* review 3
* add include for labels imagenet1k
* samples::findfile
* Add -v option. 100 inferences max with a video when -v=false
models/image_classification_mobilenet/CMakeLists.txt
ADDED
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@@ -0,0 +1,29 @@
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cmake_minimum_required(VERSION 3.2)
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set(project_name "opencv_zoo_image_classification_mobilenet")
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PROJECT (${project_name})
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set(OPENCV_VERSION "4.7.0")
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set(OPENCV_INSTALLATION_PATH "" CACHE PATH "Where to look for OpenCV installation")
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find_package(OpenCV ${OPENCV_VERSION} REQUIRED HINTS ${OPENCV_INSTALLATION_PATH})
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# Find OpenCV, you may need to set OpenCV_DIR variable
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# to the absolute path to the directory containing OpenCVConfig.cmake file
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# via the command line or GUI
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file(GLOB SourceFile
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"demo.cpp")
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# If the package has been found, several variables will
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# be set, you can find the full list with descriptions
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# in the OpenCVConfig.cmake file.
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# Print some message showing some of them
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message(STATUS "OpenCV library status:")
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message(STATUS " config: ${OpenCV_DIR}")
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message(STATUS " version: ${OpenCV_VERSION}")
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message(STATUS " libraries: ${OpenCV_LIBS}")
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message(STATUS " include path: ${OpenCV_INCLUDE_DIRS}")
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# Declare the executable target built from your sources
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add_executable(${project_name} ${SourceFile})
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# Link your application with OpenCV libraries
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target_link_libraries(${project_name} PRIVATE ${OpenCV_LIBS})
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models/image_classification_mobilenet/README.md
CHANGED
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@@ -17,6 +17,8 @@ Results of accuracy evaluation with [tools/eval](../../tools/eval).
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## Demo
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Run the following command to try the demo:
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```shell
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python demo.py --help
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```
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## License
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All files in this directory are licensed under [Apache 2.0 License](./LICENSE).
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## Demo
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### Python
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Run the following command to try the demo:
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```shell
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python demo.py --help
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```
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### C++
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Install latest OpenCV and CMake >= 3.24.0 to get started with:
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```shell
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# A typical and default installation path of OpenCV is /usr/local
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cmake -B build -D OPENCV_INSTALLATION_PATH=/path/to/opencv/installation .
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cmake --build build
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# detect on camera input
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./build/opencv_zoo_image_classification_mobilenet
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# detect on an image
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./build/opencv_zoo_image_classification_mobilenet -m=/path/to/model -i=/path/to/image -v
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# get help messages
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./build/opencv_zoo_image_classification_mobilenet -h
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```
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## License
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All files in this directory are licensed under [Apache 2.0 License](./LICENSE).
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models/image_classification_mobilenet/demo.cpp
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@@ -0,0 +1,133 @@
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#include <vector>
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#include <string>
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#include <utility>
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#include <opencv2/opencv.hpp>
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#include "labelsimagenet1k.h"
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using namespace std;
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using namespace cv;
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using namespace dnn;
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vector< pair<dnn::Backend, dnn::Target> > backendTargetPairs = {
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std::make_pair<dnn::Backend, dnn::Target>(dnn::DNN_BACKEND_OPENCV, dnn::DNN_TARGET_CPU),
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std::make_pair<dnn::Backend, dnn::Target>(dnn::DNN_BACKEND_CUDA, dnn::DNN_TARGET_CUDA),
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std::make_pair<dnn::Backend, dnn::Target>(dnn::DNN_BACKEND_CUDA, dnn::DNN_TARGET_CUDA_FP16),
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std::make_pair<dnn::Backend, dnn::Target>(dnn::DNN_BACKEND_TIMVX, dnn::DNN_TARGET_NPU),
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std::make_pair<dnn::Backend, dnn::Target>(dnn::DNN_BACKEND_CANN, dnn::DNN_TARGET_NPU) };
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std::string keys =
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"{ help h | | Print help message. }"
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"{ model m | image_classification_mobilenetv1_2022apr.onnx | Usage: Set model type, defaults to image_classification_mobilenetv1_2022apr.onnx (v1) }"
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"{ input i | | Path to input image or video file. Skip this argument to capture frames from a camera.}"
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"{ initial_width | 0 | Preprocess input image by initial resizing to a specific width.}"
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"{ initial_height | 0 | Preprocess input image by initial resizing to a specific height.}"
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"{ rgb | true | swap R and B plane.}"
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"{ crop | false | Preprocess input image by center cropping.}"
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"{ vis v | true | Usage: Specify to open a new window to show results.}"
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"{ backend bt | 0 | Choose one of computation backends: "
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"0: (default) OpenCV implementation + CPU, "
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"1: CUDA + GPU (CUDA), "
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"2: CUDA + GPU (CUDA FP16), "
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"3: TIM-VX + NPU, "
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"4: CANN + NPU}";
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int main(int argc, char** argv)
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{
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CommandLineParser parser(argc, argv, keys);
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parser.about("Use this script to run classification deep learning networks in opencv Zoo using OpenCV.");
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if (parser.has("help"))
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{
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parser.printMessage();
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return 0;
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}
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int rszWidth = parser.get<int>("initial_width");
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int rszHeight = parser.get<int>("initial_height");
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bool swapRB = parser.get<bool>("rgb");
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bool crop = parser.get<bool>("crop");
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bool vis = parser.get<bool>("vis");
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String model = parser.get<String>("model");
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int backendTargetid = parser.get<int>("backend");
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if (model.empty())
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{
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CV_Error(Error::StsError, "Model file " + model + " not found");
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}
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vector<string> labels = getLabelsImagenet1k();
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Net net = readNet(samples::findFile(model));
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net.setPreferableBackend(backendTargetPairs[backendTargetid].first);
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net.setPreferableTarget(backendTargetPairs[backendTargetid].second);
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//! [Open a video file or an image file or a camera stream]
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VideoCapture cap;
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if (parser.has("input"))
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cap.open(samples::findFile(parser.get<String>("input")));
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else
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cap.open(0);
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if (!cap.isOpened())
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CV_Error(Error::StsError, "Cannot opend video or file");
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Mat frame, blob;
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static const std::string kWinName = model;
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int nbInference = 0;
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while (waitKey(1) < 0)
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{
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cap >> frame;
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if (frame.empty())
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{
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cout << "Frame is empty" << endl;
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waitKey();
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break;
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}
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if (rszWidth != 0 && rszHeight != 0)
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{
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resize(frame, frame, Size(rszWidth, rszHeight));
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}
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Image2BlobParams paramMobilenet;
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paramMobilenet.datalayout = DNN_LAYOUT_NCHW;
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paramMobilenet.ddepth = CV_32F;
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paramMobilenet.mean = Scalar(123.675, 116.28, 103.53);
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paramMobilenet.scalefactor = Scalar(1 / (255. * 0.229), 1 / (255. * 0.224), 1 / (255. * 0.225));
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paramMobilenet.size = Size(224, 224);
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paramMobilenet.swapRB = swapRB;
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if (crop)
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paramMobilenet.paddingmode = DNN_PMODE_CROP_CENTER;
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else
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paramMobilenet.paddingmode = DNN_PMODE_NULL;
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//! [Create a 4D blob from a frame]
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blobFromImageWithParams(frame, blob, paramMobilenet);
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//! [Set input blob]
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net.setInput(blob);
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Mat prob = net.forward();
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//! [Get a class with a highest score]
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Point classIdPoint;
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double confidence;
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minMaxLoc(prob.reshape(1, 1), 0, &confidence, 0, &classIdPoint);
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int classId = classIdPoint.x;
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std::string label = format("%s: %.4f", (labels.empty() ? format("Class #%d", classId).c_str() :
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labels[classId].c_str()),
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confidence);
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if (vis)
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{
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putText(frame, label, Point(0, 55), FONT_HERSHEY_SIMPLEX, 0.5, Scalar(0, 255, 0));
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imshow(kWinName, frame);
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}
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else
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{
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cout << label << endl;
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nbInference++;
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if (nbInference > 100)
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{
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cout << nbInference << " inference made. Demo existing" << endl;
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break;
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}
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}
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}
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return 0;
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}
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models/image_classification_mobilenet/labelsimagenet1k.h
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| 1 |
+
#include <vector>
|
| 2 |
+
#include <string>
|
| 3 |
+
|
| 4 |
+
std::vector<std::string> getLabelsImagenet1k()
|
| 5 |
+
{
|
| 6 |
+
std::vector<std::string> labels = {
|
| 7 |
+
"tench, Tinca tinca",
|
| 8 |
+
"goldfish, Carassius auratus",
|
| 9 |
+
"great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias",
|
| 10 |
+
"tiger shark, Galeocerdo cuvieri",
|
| 11 |
+
"hammerhead, hammerhead shark",
|
| 12 |
+
"electric ray, crampfish, numbfish, torpedo",
|
| 13 |
+
"stingray",
|
| 14 |
+
"cock",
|
| 15 |
+
"hen",
|
| 16 |
+
"ostrich, Struthio camelus",
|
| 17 |
+
"brambling, Fringilla montifringilla",
|
| 18 |
+
"goldfinch, Carduelis carduelis",
|
| 19 |
+
"house finch, linnet, Carpodacus mexicanus",
|
| 20 |
+
"junco, snowbird",
|
| 21 |
+
"indigo bunting, indigo finch, indigo bird, Passerina cyanea",
|
| 22 |
+
"robin, American robin, Turdus migratorius",
|
| 23 |
+
"bulbul",
|
| 24 |
+
"jay",
|
| 25 |
+
"magpie",
|
| 26 |
+
"chickadee",
|
| 27 |
+
"water ouzel, dipper",
|
| 28 |
+
"kite",
|
| 29 |
+
"bald eagle, American eagle, Haliaeetus leucocephalus",
|
| 30 |
+
"vulture",
|
| 31 |
+
"great grey owl, great gray owl, Strix nebulosa",
|
| 32 |
+
"European fire salamander, Salamandra salamandra",
|
| 33 |
+
"common newt, Triturus vulgaris",
|
| 34 |
+
"eft",
|
| 35 |
+
"spotted salamander, Ambystoma maculatum",
|
| 36 |
+
"axolotl, mud puppy, Ambystoma mexicanum",
|
| 37 |
+
"bullfrog, Rana catesbeiana",
|
| 38 |
+
"tree frog, tree-frog",
|
| 39 |
+
"tailed frog, bell toad, ribbed toad, tailed toad, Ascaphus trui",
|
| 40 |
+
"loggerhead, loggerhead turtle, Caretta caretta",
|
| 41 |
+
"leatherback turtle, leatherback, leathery turtle, Dermochelys coriacea",
|
| 42 |
+
"mud turtle",
|
| 43 |
+
"terrapin",
|
| 44 |
+
"box turtle, box tortoise",
|
| 45 |
+
"banded gecko",
|
| 46 |
+
"common iguana, iguana, Iguana iguana",
|
| 47 |
+
"American chameleon, anole, Anolis carolinensis",
|
| 48 |
+
"whiptail, whiptail lizard",
|
| 49 |
+
"agama",
|
| 50 |
+
"frilled lizard, Chlamydosaurus kingi",
|
| 51 |
+
"alligator lizard",
|
| 52 |
+
"Gila monster, Heloderma suspectum",
|
| 53 |
+
"green lizard, Lacerta viridis",
|
| 54 |
+
"African chameleon, Chamaeleo chamaeleon",
|
| 55 |
+
"Komodo dragon, Komodo lizard, dragon lizard, giant lizard, Varanus komodoensis",
|
| 56 |
+
"African crocodile, Nile crocodile, Crocodylus niloticus",
|
| 57 |
+
"American alligator, Alligator mississipiensis",
|
| 58 |
+
"triceratops",
|
| 59 |
+
"thunder snake, worm snake, Carphophis amoenus",
|
| 60 |
+
"ringneck snake, ring-necked snake, ring snake",
|
| 61 |
+
"hognose snake, puff adder, sand viper",
|
| 62 |
+
"green snake, grass snake",
|
| 63 |
+
"king snake, kingsnake",
|
| 64 |
+
"garter snake, grass snake",
|
| 65 |
+
"water snake",
|
| 66 |
+
"vine snake",
|
| 67 |
+
"night snake, Hypsiglena torquata",
|
| 68 |
+
"boa constrictor, Constrictor constrictor",
|
| 69 |
+
"rock python, rock snake, Python sebae",
|
| 70 |
+
"Indian cobra, Naja naja",
|
| 71 |
+
"green mamba",
|
| 72 |
+
"sea snake",
|
| 73 |
+
"horned viper, cerastes, sand viper, horned asp, Cerastes cornutus",
|
| 74 |
+
"diamondback, diamondback rattlesnake, Crotalus adamanteus",
|
| 75 |
+
"sidewinder, horned rattlesnake, Crotalus cerastes",
|
| 76 |
+
"trilobite",
|
| 77 |
+
"harvestman, daddy longlegs, Phalangium opilio",
|
| 78 |
+
"scorpion",
|
| 79 |
+
"black and gold garden spider, Argiope aurantia",
|
| 80 |
+
"barn spider, Araneus cavaticus",
|
| 81 |
+
"garden spider, Aranea diademata",
|
| 82 |
+
"black widow, Latrodectus mactans",
|
| 83 |
+
"tarantula",
|
| 84 |
+
"wolf spider, hunting spider",
|
| 85 |
+
"tick",
|
| 86 |
+
"centipede",
|
| 87 |
+
"black grouse",
|
| 88 |
+
"ptarmigan",
|
| 89 |
+
"ruffed grouse, partridge, Bonasa umbellus",
|
| 90 |
+
"prairie chicken, prairie grouse, prairie fowl",
|
| 91 |
+
"peacock",
|
| 92 |
+
"quail",
|
| 93 |
+
"partridge",
|
| 94 |
+
"African grey, African gray, Psittacus erithacus",
|
| 95 |
+
"macaw",
|
| 96 |
+
"sulphur-crested cockatoo, Kakatoe galerita, Cacatua galerita",
|
| 97 |
+
"lorikeet",
|
| 98 |
+
"coucal",
|
| 99 |
+
"bee eater",
|
| 100 |
+
"hornbill",
|
| 101 |
+
"hummingbird",
|
| 102 |
+
"jacamar",
|
| 103 |
+
"toucan",
|
| 104 |
+
"drake",
|
| 105 |
+
"red-breasted merganser, Mergus serrator",
|
| 106 |
+
"goose",
|
| 107 |
+
"black swan, Cygnus atratus",
|
| 108 |
+
"tusker",
|
| 109 |
+
"echidna, spiny anteater, anteater",
|
| 110 |
+
"platypus, duckbill, duckbilled platypus, duck-billed platypus, Ornithorhynchus anatinus",
|
| 111 |
+
"wallaby, brush kangaroo",
|
| 112 |
+
"koala, koala bear, kangaroo bear, native bear, Phascolarctos cinereus",
|
| 113 |
+
"wombat",
|
| 114 |
+
"jellyfish",
|
| 115 |
+
"sea anemone, anemone",
|
| 116 |
+
"brain coral",
|
| 117 |
+
"flatworm, platyhelminth",
|
| 118 |
+
"nematode, nematode worm, roundworm",
|
| 119 |
+
"conch",
|
| 120 |
+
"snail",
|
| 121 |
+
"slug",
|
| 122 |
+
"sea slug, nudibranch",
|
| 123 |
+
"chiton, coat-of-mail shell, sea cradle, polyplacophore",
|
| 124 |
+
"chambered nautilus, pearly nautilus, nautilus",
|
| 125 |
+
"Dungeness crab, Cancer magister",
|
| 126 |
+
"rock crab, Cancer irroratus",
|
| 127 |
+
"fiddler crab",
|
| 128 |
+
"king crab, Alaska crab, Alaskan king crab, Alaska king crab, Paralithodes camtschatica",
|
| 129 |
+
"American lobster, Northern lobster, Maine lobster, Homarus americanus",
|
| 130 |
+
"spiny lobster, langouste, rock lobster, crawfish, crayfish, sea crawfish",
|
| 131 |
+
"crayfish, crawfish, crawdad, crawdaddy",
|
| 132 |
+
"hermit crab",
|
| 133 |
+
"isopod",
|
| 134 |
+
"white stork, Ciconia ciconia",
|
| 135 |
+
"black stork, Ciconia nigra",
|
| 136 |
+
"spoonbill",
|
| 137 |
+
"flamingo",
|
| 138 |
+
"little blue heron, Egretta caerulea",
|
| 139 |
+
"American egret, great white heron, Egretta albus",
|
| 140 |
+
"bittern",
|
| 141 |
+
"crane",
|
| 142 |
+
"limpkin, Aramus pictus",
|
| 143 |
+
"European gallinule, Porphyrio porphyrio",
|
| 144 |
+
"American coot, marsh hen, mud hen, water hen, Fulica americana",
|
| 145 |
+
"bustard",
|
| 146 |
+
"ruddy turnstone, Arenaria interpres",
|
| 147 |
+
"red-backed sandpiper, dunlin, Erolia alpina",
|
| 148 |
+
"redshank, Tringa totanus",
|
| 149 |
+
"dowitcher",
|
| 150 |
+
"oystercatcher, oyster catcher",
|
| 151 |
+
"pelican",
|
| 152 |
+
"king penguin, Aptenodytes patagonica",
|
| 153 |
+
"albatross, mollymawk",
|
| 154 |
+
"grey whale, gray whale, devilfish, Eschrichtius gibbosus, Eschrichtius robustus",
|
| 155 |
+
"killer whale, killer, orca, grampus, sea wolf, Orcinus orca",
|
| 156 |
+
"dugong, Dugong dugon",
|
| 157 |
+
"sea lion",
|
| 158 |
+
"Chihuahua",
|
| 159 |
+
"Japanese spaniel",
|
| 160 |
+
"Maltese dog, Maltese terrier, Maltese",
|
| 161 |
+
"Pekinese, Pekingese, Peke",
|
| 162 |
+
"Shih-Tzu",
|
| 163 |
+
"Blenheim spaniel",
|
| 164 |
+
"papillon",
|
| 165 |
+
"toy terrier",
|
| 166 |
+
"Rhodesian ridgeback",
|
| 167 |
+
"Afghan hound, Afghan",
|
| 168 |
+
"basset, basset hound",
|
| 169 |
+
"beagle",
|
| 170 |
+
"bloodhound, sleuthhound",
|
| 171 |
+
"bluetick",
|
| 172 |
+
"black-and-tan coonhound",
|
| 173 |
+
"Walker hound, Walker foxhound",
|
| 174 |
+
"English foxhound",
|
| 175 |
+
"redbone",
|
| 176 |
+
"borzoi, Russian wolfhound",
|
| 177 |
+
"Irish wolfhound",
|
| 178 |
+
"Italian greyhound",
|
| 179 |
+
"whippet",
|
| 180 |
+
"Ibizan hound, Ibizan Podenco",
|
| 181 |
+
"Norwegian elkhound, elkhound",
|
| 182 |
+
"otterhound, otter hound",
|
| 183 |
+
"Saluki, gazelle hound",
|
| 184 |
+
"Scottish deerhound, deerhound",
|
| 185 |
+
"Weimaraner",
|
| 186 |
+
"Staffordshire bullterrier, Staffordshire bull terrier",
|
| 187 |
+
"American Staffordshire terrier, Staffordshire terrier, American pit bull terrier, pit bull terrier",
|
| 188 |
+
"Bedlington terrier",
|
| 189 |
+
"Border terrier",
|
| 190 |
+
"Kerry blue terrier",
|
| 191 |
+
"Irish terrier",
|
| 192 |
+
"Norfolk terrier",
|
| 193 |
+
"Norwich terrier",
|
| 194 |
+
"Yorkshire terrier",
|
| 195 |
+
"wire-haired fox terrier",
|
| 196 |
+
"Lakeland terrier",
|
| 197 |
+
"Sealyham terrier, Sealyham",
|
| 198 |
+
"Airedale, Airedale terrier",
|
| 199 |
+
"cairn, cairn terrier",
|
| 200 |
+
"Australian terrier",
|
| 201 |
+
"Dandie Dinmont, Dandie Dinmont terrier",
|
| 202 |
+
"Boston bull, Boston terrier",
|
| 203 |
+
"miniature schnauzer",
|
| 204 |
+
"giant schnauzer",
|
| 205 |
+
"standard schnauzer",
|
| 206 |
+
"Scotch terrier, Scottish terrier, Scottie",
|
| 207 |
+
"Tibetan terrier, chrysanthemum dog",
|
| 208 |
+
"silky terrier, Sydney silky",
|
| 209 |
+
"soft-coated wheaten terrier",
|
| 210 |
+
"West Highland white terrier",
|
| 211 |
+
"Lhasa, Lhasa apso",
|
| 212 |
+
"flat-coated retriever",
|
| 213 |
+
"curly-coated retriever",
|
| 214 |
+
"golden retriever",
|
| 215 |
+
"Labrador retriever",
|
| 216 |
+
"Chesapeake Bay retriever",
|
| 217 |
+
"German short-haired pointer",
|
| 218 |
+
"vizsla, Hungarian pointer",
|
| 219 |
+
"English setter",
|
| 220 |
+
"Irish setter, red setter",
|
| 221 |
+
"Gordon setter",
|
| 222 |
+
"Brittany spaniel",
|
| 223 |
+
"clumber, clumber spaniel",
|
| 224 |
+
"English springer, English springer spaniel",
|
| 225 |
+
"Welsh springer spaniel",
|
| 226 |
+
"cocker spaniel, English cocker spaniel, cocker",
|
| 227 |
+
"Sussex spaniel",
|
| 228 |
+
"Irish water spaniel",
|
| 229 |
+
"kuvasz",
|
| 230 |
+
"schipperke",
|
| 231 |
+
"groenendael",
|
| 232 |
+
"malinois",
|
| 233 |
+
"briard",
|
| 234 |
+
"kelpie",
|
| 235 |
+
"komondor",
|
| 236 |
+
"Old English sheepdog, bobtail",
|
| 237 |
+
"Shetland sheepdog, Shetland sheep dog, Shetland",
|
| 238 |
+
"collie",
|
| 239 |
+
"Border collie",
|
| 240 |
+
"Bouvier des Flandres, Bouviers des Flandres",
|
| 241 |
+
"Rottweiler",
|
| 242 |
+
"German shepherd, German shepherd dog, German police dog, alsatian",
|
| 243 |
+
"Doberman, Doberman pinscher",
|
| 244 |
+
"miniature pinscher",
|
| 245 |
+
"Greater Swiss Mountain dog",
|
| 246 |
+
"Bernese mountain dog",
|
| 247 |
+
"Appenzeller",
|
| 248 |
+
"EntleBucher",
|
| 249 |
+
"boxer",
|
| 250 |
+
"bull mastiff",
|
| 251 |
+
"Tibetan mastiff",
|
| 252 |
+
"French bulldog",
|
| 253 |
+
"Great Dane",
|
| 254 |
+
"Saint Bernard, St Bernard",
|
| 255 |
+
"Eskimo dog, husky",
|
| 256 |
+
"malamute, malemute, Alaskan malamute",
|
| 257 |
+
"Siberian husky",
|
| 258 |
+
"dalmatian, coach dog, carriage dog",
|
| 259 |
+
"affenpinscher, monkey pinscher, monkey dog",
|
| 260 |
+
"basenji",
|
| 261 |
+
"pug, pug-dog",
|
| 262 |
+
"Leonberg",
|
| 263 |
+
"Newfoundland, Newfoundland dog",
|
| 264 |
+
"Great Pyrenees",
|
| 265 |
+
"Samoyed, Samoyede",
|
| 266 |
+
"Pomeranian",
|
| 267 |
+
"chow, chow chow",
|
| 268 |
+
"keeshond",
|
| 269 |
+
"Brabancon griffon",
|
| 270 |
+
"Pembroke, Pembroke Welsh corgi",
|
| 271 |
+
"Cardigan, Cardigan Welsh corgi",
|
| 272 |
+
"toy poodle",
|
| 273 |
+
"miniature poodle",
|
| 274 |
+
"standard poodle",
|
| 275 |
+
"Mexican hairless",
|
| 276 |
+
"timber wolf, grey wolf, gray wolf, Canis lupus",
|
| 277 |
+
"white wolf, Arctic wolf, Canis lupus tundrarum",
|
| 278 |
+
"red wolf, maned wolf, Canis rufus, Canis niger",
|
| 279 |
+
"coyote, prairie wolf, brush wolf, Canis latrans",
|
| 280 |
+
"dingo, warrigal, warragal, Canis dingo",
|
| 281 |
+
"dhole, Cuon alpinus",
|
| 282 |
+
"African hunting dog, hyena dog, Cape hunting dog, Lycaon pictus",
|
| 283 |
+
"hyena, hyaena",
|
| 284 |
+
"red fox, Vulpes vulpes",
|
| 285 |
+
"kit fox, Vulpes macrotis",
|
| 286 |
+
"Arctic fox, white fox, Alopex lagopus",
|
| 287 |
+
"grey fox, gray fox, Urocyon cinereoargenteus",
|
| 288 |
+
"tabby, tabby cat",
|
| 289 |
+
"tiger cat",
|
| 290 |
+
"Persian cat",
|
| 291 |
+
"Siamese cat, Siamese",
|
| 292 |
+
"Egyptian cat",
|
| 293 |
+
"cougar, puma, catamount, mountain lion, painter, panther, Felis concolor",
|
| 294 |
+
"lynx, catamount",
|
| 295 |
+
"leopard, Panthera pardus",
|
| 296 |
+
"snow leopard, ounce, Panthera uncia",
|
| 297 |
+
"jaguar, panther, Panthera onca, Felis onca",
|
| 298 |
+
"lion, king of beasts, Panthera leo",
|
| 299 |
+
"tiger, Panthera tigris",
|
| 300 |
+
"cheetah, chetah, Acinonyx jubatus",
|
| 301 |
+
"brown bear, bruin, Ursus arctos",
|
| 302 |
+
"American black bear, black bear, Ursus americanus, Euarctos americanus",
|
| 303 |
+
"ice bear, polar bear, Ursus Maritimus, Thalarctos maritimus",
|
| 304 |
+
"sloth bear, Melursus ursinus, Ursus ursinus",
|
| 305 |
+
"mongoose",
|
| 306 |
+
"meerkat, mierkat",
|
| 307 |
+
"tiger beetle",
|
| 308 |
+
"ladybug, ladybeetle, lady beetle, ladybird, ladybird beetle",
|
| 309 |
+
"ground beetle, carabid beetle",
|
| 310 |
+
"long-horned beetle, longicorn, longicorn beetle",
|
| 311 |
+
"leaf beetle, chrysomelid",
|
| 312 |
+
"dung beetle",
|
| 313 |
+
"rhinoceros beetle",
|
| 314 |
+
"weevil",
|
| 315 |
+
"fly",
|
| 316 |
+
"bee",
|
| 317 |
+
"ant, emmet, pismire",
|
| 318 |
+
"grasshopper, hopper",
|
| 319 |
+
"cricket",
|
| 320 |
+
"walking stick, walkingstick, stick insect",
|
| 321 |
+
"cockroach, roach",
|
| 322 |
+
"mantis, mantid",
|
| 323 |
+
"cicada, cicala",
|
| 324 |
+
"leafhopper",
|
| 325 |
+
"lacewing, lacewing fly",
|
| 326 |
+
"dragonfly, darning needle, devil's darning needle, sewing needle, snake feeder, snake doctor, mosquito hawk, skeeter hawk",
|
| 327 |
+
"damselfly",
|
| 328 |
+
"admiral",
|
| 329 |
+
"ringlet, ringlet butterfly",
|
| 330 |
+
"monarch, monarch butterfly, milkweed butterfly, Danaus plexippus",
|
| 331 |
+
"cabbage butterfly",
|
| 332 |
+
"sulphur butterfly, sulfur butterfly",
|
| 333 |
+
"lycaenid, lycaenid butterfly",
|
| 334 |
+
"starfish, sea star",
|
| 335 |
+
"sea urchin",
|
| 336 |
+
"sea cucumber, holothurian",
|
| 337 |
+
"wood rabbit, cottontail, cottontail rabbit",
|
| 338 |
+
"hare",
|
| 339 |
+
"Angora, Angora rabbit",
|
| 340 |
+
"hamster",
|
| 341 |
+
"porcupine, hedgehog",
|
| 342 |
+
"fox squirrel, eastern fox squirrel, Sciurus niger",
|
| 343 |
+
"marmot",
|
| 344 |
+
"beaver",
|
| 345 |
+
"guinea pig, Cavia cobaya",
|
| 346 |
+
"sorrel",
|
| 347 |
+
"zebra",
|
| 348 |
+
"hog, pig, grunter, squealer, Sus scrofa",
|
| 349 |
+
"wild boar, boar, Sus scrofa",
|
| 350 |
+
"warthog",
|
| 351 |
+
"hippopotamus, hippo, river horse, Hippopotamus amphibius",
|
| 352 |
+
"ox",
|
| 353 |
+
"water buffalo, water ox, Asiatic buffalo, Bubalus bubalis",
|
| 354 |
+
"bison",
|
| 355 |
+
"ram, tup",
|
| 356 |
+
"bighorn, bighorn sheep, cimarron, Rocky Mountain bighorn, Rocky Mountain sheep, Ovis canadensis",
|
| 357 |
+
"ibex, Capra ibex",
|
| 358 |
+
"hartebeest",
|
| 359 |
+
"impala, Aepyceros melampus",
|
| 360 |
+
"gazelle",
|
| 361 |
+
"Arabian camel, dromedary, Camelus dromedarius",
|
| 362 |
+
"llama",
|
| 363 |
+
"weasel",
|
| 364 |
+
"mink",
|
| 365 |
+
"polecat, fitch, foulmart, foumart, Mustela putorius",
|
| 366 |
+
"black-footed ferret, ferret, Mustela nigripes",
|
| 367 |
+
"otter",
|
| 368 |
+
"skunk, polecat, wood pussy",
|
| 369 |
+
"badger",
|
| 370 |
+
"armadillo",
|
| 371 |
+
"three-toed sloth, ai, Bradypus tridactylus",
|
| 372 |
+
"orangutan, orang, orangutang, Pongo pygmaeus",
|
| 373 |
+
"gorilla, Gorilla gorilla",
|
| 374 |
+
"chimpanzee, chimp, Pan troglodytes",
|
| 375 |
+
"gibbon, Hylobates lar",
|
| 376 |
+
"siamang, Hylobates syndactylus, Symphalangus syndactylus",
|
| 377 |
+
"guenon, guenon monkey",
|
| 378 |
+
"patas, hussar monkey, Erythrocebus patas",
|
| 379 |
+
"baboon",
|
| 380 |
+
"macaque",
|
| 381 |
+
"langur",
|
| 382 |
+
"colobus, colobus monkey",
|
| 383 |
+
"proboscis monkey, Nasalis larvatus",
|
| 384 |
+
"marmoset",
|
| 385 |
+
"capuchin, ringtail, Cebus capucinus",
|
| 386 |
+
"howler monkey, howler",
|
| 387 |
+
"titi, titi monkey",
|
| 388 |
+
"spider monkey, Ateles geoffroyi",
|
| 389 |
+
"squirrel monkey, Saimiri sciureus",
|
| 390 |
+
"Madagascar cat, ring-tailed lemur, Lemur catta",
|
| 391 |
+
"indri, indris, Indri indri, Indri brevicaudatus",
|
| 392 |
+
"Indian elephant, Elephas maximus",
|
| 393 |
+
"African elephant, Loxodonta africana",
|
| 394 |
+
"lesser panda, red panda, panda, bear cat, cat bear, Ailurus fulgens",
|
| 395 |
+
"giant panda, panda, panda bear, coon bear, Ailuropoda melanoleuca",
|
| 396 |
+
"barracouta, snoek",
|
| 397 |
+
"eel",
|
| 398 |
+
"coho, cohoe, coho salmon, blue jack, silver salmon, Oncorhynchus kisutch",
|
| 399 |
+
"rock beauty, Holocanthus tricolor",
|
| 400 |
+
"anemone fish",
|
| 401 |
+
"sturgeon",
|
| 402 |
+
"gar, garfish, garpike, billfish, Lepisosteus osseus",
|
| 403 |
+
"lionfish",
|
| 404 |
+
"puffer, pufferfish, blowfish, globefish",
|
| 405 |
+
"abacus",
|
| 406 |
+
"abaya",
|
| 407 |
+
"academic gown, academic robe, judge's robe",
|
| 408 |
+
"accordion, piano accordion, squeeze box",
|
| 409 |
+
"acoustic guitar",
|
| 410 |
+
"aircraft carrier, carrier, flattop, attack aircraft carrier",
|
| 411 |
+
"airliner",
|
| 412 |
+
"airship, dirigible",
|
| 413 |
+
"altar",
|
| 414 |
+
"ambulance",
|
| 415 |
+
"amphibian, amphibious vehicle",
|
| 416 |
+
"analog clock",
|
| 417 |
+
"apiary, bee house",
|
| 418 |
+
"apron",
|
| 419 |
+
"ashcan, trash can, garbage can, wastebin, ash bin, ash-bin, ashbin, dustbin, trash barrel, trash bin",
|
| 420 |
+
"assault rifle, assault gun",
|
| 421 |
+
"backpack, back pack, knapsack, packsack, rucksack, haversack",
|
| 422 |
+
"bakery, bakeshop, bakehouse",
|
| 423 |
+
"balance beam, beam",
|
| 424 |
+
"balloon",
|
| 425 |
+
"ballpoint, ballpoint pen, ballpen, Biro",
|
| 426 |
+
"Band Aid",
|
| 427 |
+
"banjo",
|
| 428 |
+
"bannister, banister, balustrade, balusters, handrail",
|
| 429 |
+
"barbell",
|
| 430 |
+
"barber chair",
|
| 431 |
+
"barbershop",
|
| 432 |
+
"barn",
|
| 433 |
+
"barometer",
|
| 434 |
+
"barrel, cask",
|
| 435 |
+
"barrow, garden cart, lawn cart, wheelbarrow",
|
| 436 |
+
"baseball",
|
| 437 |
+
"basketball",
|
| 438 |
+
"bassinet",
|
| 439 |
+
"bassoon",
|
| 440 |
+
"bathing cap, swimming cap",
|
| 441 |
+
"bath towel",
|
| 442 |
+
"bathtub, bathing tub, bath, tub",
|
| 443 |
+
"beach wagon, station wagon, wagon, estate car, beach waggon, station waggon, waggon",
|
| 444 |
+
"beacon, lighthouse, beacon light, pharos",
|
| 445 |
+
"beaker",
|
| 446 |
+
"bearskin, busby, shako",
|
| 447 |
+
"beer bottle",
|
| 448 |
+
"beer glass",
|
| 449 |
+
"bell cote, bell cot",
|
| 450 |
+
"bib",
|
| 451 |
+
"bicycle-built-for-two, tandem bicycle, tandem",
|
| 452 |
+
"bikini, two-piece",
|
| 453 |
+
"binder, ring-binder",
|
| 454 |
+
"binoculars, field glasses, opera glasses",
|
| 455 |
+
"birdhouse",
|
| 456 |
+
"boathouse",
|
| 457 |
+
"bobsled, bobsleigh, bob",
|
| 458 |
+
"bolo tie, bolo, bola tie, bola",
|
| 459 |
+
"bonnet, poke bonnet",
|
| 460 |
+
"bookcase",
|
| 461 |
+
"bookshop, bookstore, bookstall",
|
| 462 |
+
"bottlecap",
|
| 463 |
+
"bow",
|
| 464 |
+
"bow tie, bow-tie, bowtie",
|
| 465 |
+
"brass, memorial tablet, plaque",
|
| 466 |
+
"brassiere, bra, bandeau",
|
| 467 |
+
"breakwater, groin, groyne, mole, bulwark, seawall, jetty",
|
| 468 |
+
"breastplate, aegis, egis",
|
| 469 |
+
"broom",
|
| 470 |
+
"bucket, pail",
|
| 471 |
+
"buckle",
|
| 472 |
+
"bulletproof vest",
|
| 473 |
+
"bullet train, bullet",
|
| 474 |
+
"butcher shop, meat market",
|
| 475 |
+
"cab, hack, taxi, taxicab",
|
| 476 |
+
"caldron, cauldron",
|
| 477 |
+
"candle, taper, wax light",
|
| 478 |
+
"cannon",
|
| 479 |
+
"canoe",
|
| 480 |
+
"can opener, tin opener",
|
| 481 |
+
"cardigan",
|
| 482 |
+
"car mirror",
|
| 483 |
+
"carousel, carrousel, merry-go-round, roundabout, whirligig",
|
| 484 |
+
"carpenter's kit, tool kit",
|
| 485 |
+
"carton",
|
| 486 |
+
"car wheel",
|
| 487 |
+
"cash machine, cash dispenser, automated teller machine, automatic teller machine, automated teller, automatic teller, ATM",
|
| 488 |
+
"cassette",
|
| 489 |
+
"cassette player",
|
| 490 |
+
"castle",
|
| 491 |
+
"catamaran",
|
| 492 |
+
"CD player",
|
| 493 |
+
"cello, violoncello",
|
| 494 |
+
"cellular telephone, cellular phone, cellphone, cell, mobile phone",
|
| 495 |
+
"chain",
|
| 496 |
+
"chainlink fence",
|
| 497 |
+
"chain mail, ring mail, mail, chain armor, chain armour, ring armor, ring armour",
|
| 498 |
+
"chain saw, chainsaw",
|
| 499 |
+
"chest",
|
| 500 |
+
"chiffonier, commode",
|
| 501 |
+
"chime, bell, gong",
|
| 502 |
+
"china cabinet, china closet",
|
| 503 |
+
"Christmas stocking",
|
| 504 |
+
"church, church building",
|
| 505 |
+
"cinema, movie theater, movie theatre, movie house, picture palace",
|
| 506 |
+
"cleaver, meat cleaver, chopper",
|
| 507 |
+
"cliff dwelling",
|
| 508 |
+
"cloak",
|
| 509 |
+
"clog, geta, patten, sabot",
|
| 510 |
+
"cocktail shaker",
|
| 511 |
+
"coffee mug",
|
| 512 |
+
"coffeepot",
|
| 513 |
+
"coil, spiral, volute, whorl, helix",
|
| 514 |
+
"combination lock",
|
| 515 |
+
"computer keyboard, keypad",
|
| 516 |
+
"confectionery, confectionary, candy store",
|
| 517 |
+
"container ship, containership, container vessel",
|
| 518 |
+
"convertible",
|
| 519 |
+
"corkscrew, bottle screw",
|
| 520 |
+
"cornet, horn, trumpet, trump",
|
| 521 |
+
"cowboy boot",
|
| 522 |
+
"cowboy hat, ten-gallon hat",
|
| 523 |
+
"cradle",
|
| 524 |
+
"crane",
|
| 525 |
+
"crash helmet",
|
| 526 |
+
"crate",
|
| 527 |
+
"crib, cot",
|
| 528 |
+
"Crock Pot",
|
| 529 |
+
"croquet ball",
|
| 530 |
+
"crutch",
|
| 531 |
+
"cuirass",
|
| 532 |
+
"dam, dike, dyke",
|
| 533 |
+
"desk",
|
| 534 |
+
"desktop computer",
|
| 535 |
+
"dial telephone, dial phone",
|
| 536 |
+
"diaper, nappy, napkin",
|
| 537 |
+
"digital clock",
|
| 538 |
+
"digital watch",
|
| 539 |
+
"dining table, board",
|
| 540 |
+
"dishrag, dishcloth",
|
| 541 |
+
"dishwasher, dish washer, dishwashing machine",
|
| 542 |
+
"disk brake, disc brake",
|
| 543 |
+
"dock, dockage, docking facility",
|
| 544 |
+
"dogsled, dog sled, dog sleigh",
|
| 545 |
+
"dome",
|
| 546 |
+
"doormat, welcome mat",
|
| 547 |
+
"drilling platform, offshore rig",
|
| 548 |
+
"drum, membranophone, tympan",
|
| 549 |
+
"drumstick",
|
| 550 |
+
"dumbbell",
|
| 551 |
+
"Dutch oven",
|
| 552 |
+
"electric fan, blower",
|
| 553 |
+
"electric guitar",
|
| 554 |
+
"electric locomotive",
|
| 555 |
+
"entertainment center",
|
| 556 |
+
"envelope",
|
| 557 |
+
"espresso maker",
|
| 558 |
+
"face powder",
|
| 559 |
+
"feather boa, boa",
|
| 560 |
+
"file, file cabinet, filing cabinet",
|
| 561 |
+
"fireboat",
|
| 562 |
+
"fire engine, fire truck",
|
| 563 |
+
"fire screen, fireguard",
|
| 564 |
+
"flagpole, flagstaff",
|
| 565 |
+
"flute, transverse flute",
|
| 566 |
+
"folding chair",
|
| 567 |
+
"football helmet",
|
| 568 |
+
"forklift",
|
| 569 |
+
"fountain",
|
| 570 |
+
"fountain pen",
|
| 571 |
+
"four-poster",
|
| 572 |
+
"freight car",
|
| 573 |
+
"French horn, horn",
|
| 574 |
+
"frying pan, frypan, skillet",
|
| 575 |
+
"fur coat",
|
| 576 |
+
"garbage truck, dustcart",
|
| 577 |
+
"gasmask, respirator, gas helmet",
|
| 578 |
+
"gas pump, gasoline pump, petrol pump, island dispenser",
|
| 579 |
+
"goblet",
|
| 580 |
+
"go-kart",
|
| 581 |
+
"golf ball",
|
| 582 |
+
"golfcart, golf cart",
|
| 583 |
+
"gondola",
|
| 584 |
+
"gong, tam-tam",
|
| 585 |
+
"gown",
|
| 586 |
+
"grand piano, grand",
|
| 587 |
+
"greenhouse, nursery, glasshouse",
|
| 588 |
+
"grille, radiator grille",
|
| 589 |
+
"grocery store, grocery, food market, market",
|
| 590 |
+
"guillotine",
|
| 591 |
+
"hair slide",
|
| 592 |
+
"hair spray",
|
| 593 |
+
"half track",
|
| 594 |
+
"hammer",
|
| 595 |
+
"hamper",
|
| 596 |
+
"hand blower, blow dryer, blow drier, hair dryer, hair drier",
|
| 597 |
+
"hand-held computer, hand-held microcomputer",
|
| 598 |
+
"handkerchief, hankie, hanky, hankey",
|
| 599 |
+
"hard disc, hard disk, fixed disk",
|
| 600 |
+
"harmonica, mouth organ, harp, mouth harp",
|
| 601 |
+
"harp",
|
| 602 |
+
"harvester, reaper",
|
| 603 |
+
"hatchet",
|
| 604 |
+
"holster",
|
| 605 |
+
"home theater, home theatre",
|
| 606 |
+
"honeycomb",
|
| 607 |
+
"hook, claw",
|
| 608 |
+
"hoopskirt, crinoline",
|
| 609 |
+
"horizontal bar, high bar",
|
| 610 |
+
"horse cart, horse-cart",
|
| 611 |
+
"hourglass",
|
| 612 |
+
"iPod",
|
| 613 |
+
"iron, smoothing iron",
|
| 614 |
+
"jack-o'-lantern",
|
| 615 |
+
"jean, blue jean, denim",
|
| 616 |
+
"jeep, landrover",
|
| 617 |
+
"jersey, T-shirt, tee shirt",
|
| 618 |
+
"jigsaw puzzle",
|
| 619 |
+
"jinrikisha, ricksha, rickshaw",
|
| 620 |
+
"joystick",
|
| 621 |
+
"kimono",
|
| 622 |
+
"knee pad",
|
| 623 |
+
"knot",
|
| 624 |
+
"lab coat, laboratory coat",
|
| 625 |
+
"ladle",
|
| 626 |
+
"lampshade, lamp shade",
|
| 627 |
+
"laptop, laptop computer",
|
| 628 |
+
"lawn mower, mower",
|
| 629 |
+
"lens cap, lens cover",
|
| 630 |
+
"letter opener, paper knife, paperknife",
|
| 631 |
+
"library",
|
| 632 |
+
"lifeboat",
|
| 633 |
+
"lighter, light, igniter, ignitor",
|
| 634 |
+
"limousine, limo",
|
| 635 |
+
"liner, ocean liner",
|
| 636 |
+
"lipstick, lip rouge",
|
| 637 |
+
"Loafer",
|
| 638 |
+
"lotion",
|
| 639 |
+
"loudspeaker, speaker, speaker unit, loudspeaker system, speaker system",
|
| 640 |
+
"loupe, jeweler's loupe",
|
| 641 |
+
"lumbermill, sawmill",
|
| 642 |
+
"magnetic compass",
|
| 643 |
+
"mailbag, postbag",
|
| 644 |
+
"mailbox, letter box",
|
| 645 |
+
"maillot",
|
| 646 |
+
"maillot, tank suit",
|
| 647 |
+
"manhole cover",
|
| 648 |
+
"maraca",
|
| 649 |
+
"marimba, xylophone",
|
| 650 |
+
"mask",
|
| 651 |
+
"matchstick",
|
| 652 |
+
"maypole",
|
| 653 |
+
"maze, labyrinth",
|
| 654 |
+
"measuring cup",
|
| 655 |
+
"medicine chest, medicine cabinet",
|
| 656 |
+
"megalith, megalithic structure",
|
| 657 |
+
"microphone, mike",
|
| 658 |
+
"microwave, microwave oven",
|
| 659 |
+
"military uniform",
|
| 660 |
+
"milk can",
|
| 661 |
+
"minibus",
|
| 662 |
+
"miniskirt, mini",
|
| 663 |
+
"minivan",
|
| 664 |
+
"missile",
|
| 665 |
+
"mitten",
|
| 666 |
+
"mixing bowl",
|
| 667 |
+
"mobile home, manufactured home",
|
| 668 |
+
"Model T",
|
| 669 |
+
"modem",
|
| 670 |
+
"monastery",
|
| 671 |
+
"monitor",
|
| 672 |
+
"moped",
|
| 673 |
+
"mortar",
|
| 674 |
+
"mortarboard",
|
| 675 |
+
"mosque",
|
| 676 |
+
"mosquito net",
|
| 677 |
+
"motor scooter, scooter",
|
| 678 |
+
"mountain bike, all-terrain bike, off-roader",
|
| 679 |
+
"mountain tent",
|
| 680 |
+
"mouse, computer mouse",
|
| 681 |
+
"mousetrap",
|
| 682 |
+
"moving van",
|
| 683 |
+
"muzzle",
|
| 684 |
+
"nail",
|
| 685 |
+
"neck brace",
|
| 686 |
+
"necklace",
|
| 687 |
+
"nipple",
|
| 688 |
+
"notebook, notebook computer",
|
| 689 |
+
"obelisk",
|
| 690 |
+
"oboe, hautboy, hautbois",
|
| 691 |
+
"ocarina, sweet potato",
|
| 692 |
+
"odometer, hodometer, mileometer, milometer",
|
| 693 |
+
"oil filter",
|
| 694 |
+
"organ, pipe organ",
|
| 695 |
+
"oscilloscope, scope, cathode-ray oscilloscope, CRO",
|
| 696 |
+
"overskirt",
|
| 697 |
+
"oxcart",
|
| 698 |
+
"oxygen mask",
|
| 699 |
+
"packet",
|
| 700 |
+
"paddle, boat paddle",
|
| 701 |
+
"paddlewheel, paddle wheel",
|
| 702 |
+
"padlock",
|
| 703 |
+
"paintbrush",
|
| 704 |
+
"pajama, pyjama, pj's, jammies",
|
| 705 |
+
"palace",
|
| 706 |
+
"panpipe, pandean pipe, syrinx",
|
| 707 |
+
"paper towel",
|
| 708 |
+
"parachute, chute",
|
| 709 |
+
"parallel bars, bars",
|
| 710 |
+
"park bench",
|
| 711 |
+
"parking meter",
|
| 712 |
+
"passenger car, coach, carriage",
|
| 713 |
+
"patio, terrace",
|
| 714 |
+
"pay-phone, pay-station",
|
| 715 |
+
"pedestal, plinth, footstall",
|
| 716 |
+
"pencil box, pencil case",
|
| 717 |
+
"pencil sharpener",
|
| 718 |
+
"perfume, essence",
|
| 719 |
+
"Petri dish",
|
| 720 |
+
"photocopier",
|
| 721 |
+
"pick, plectrum, plectron",
|
| 722 |
+
"pickelhaube",
|
| 723 |
+
"picket fence, paling",
|
| 724 |
+
"pickup, pickup truck",
|
| 725 |
+
"pier",
|
| 726 |
+
"piggy bank, penny bank",
|
| 727 |
+
"pill bottle",
|
| 728 |
+
"pillow",
|
| 729 |
+
"ping-pong ball",
|
| 730 |
+
"pinwheel",
|
| 731 |
+
"pirate, pirate ship",
|
| 732 |
+
"pitcher, ewer",
|
| 733 |
+
"plane, carpenter's plane, woodworking plane",
|
| 734 |
+
"planetarium",
|
| 735 |
+
"plastic bag",
|
| 736 |
+
"plate rack",
|
| 737 |
+
"plow, plough",
|
| 738 |
+
"plunger, plumber's helper",
|
| 739 |
+
"Polaroid camera, Polaroid Land camera",
|
| 740 |
+
"pole",
|
| 741 |
+
"police van, police wagon, paddy wagon, patrol wagon, wagon, black Maria",
|
| 742 |
+
"poncho",
|
| 743 |
+
"pool table, billiard table, snooker table",
|
| 744 |
+
"pop bottle, soda bottle",
|
| 745 |
+
"pot, flowerpot",
|
| 746 |
+
"potter's wheel",
|
| 747 |
+
"power drill",
|
| 748 |
+
"prayer rug, prayer mat",
|
| 749 |
+
"printer",
|
| 750 |
+
"prison, prison house",
|
| 751 |
+
"projectile, missile",
|
| 752 |
+
"projector",
|
| 753 |
+
"puck, hockey puck",
|
| 754 |
+
"punching bag, punch bag, punching ball, punchball",
|
| 755 |
+
"purse",
|
| 756 |
+
"quill, quill pen",
|
| 757 |
+
"quilt, comforter, comfort, puff",
|
| 758 |
+
"racer, race car, racing car",
|
| 759 |
+
"racket, racquet",
|
| 760 |
+
"radiator",
|
| 761 |
+
"radio, wireless",
|
| 762 |
+
"radio telescope, radio reflector",
|
| 763 |
+
"rain barrel",
|
| 764 |
+
"recreational vehicle, RV, R.V.",
|
| 765 |
+
"reel",
|
| 766 |
+
"reflex camera",
|
| 767 |
+
"refrigerator, icebox",
|
| 768 |
+
"remote control, remote",
|
| 769 |
+
"restaurant, eating house, eating place, eatery",
|
| 770 |
+
"revolver, six-gun, six-shooter",
|
| 771 |
+
"rifle",
|
| 772 |
+
"rocking chair, rocker",
|
| 773 |
+
"rotisserie",
|
| 774 |
+
"rubber eraser, rubber, pencil eraser",
|
| 775 |
+
"rugby ball",
|
| 776 |
+
"rule, ruler",
|
| 777 |
+
"running shoe",
|
| 778 |
+
"safe",
|
| 779 |
+
"safety pin",
|
| 780 |
+
"saltshaker, salt shaker",
|
| 781 |
+
"sandal",
|
| 782 |
+
"sarong",
|
| 783 |
+
"sax, saxophone",
|
| 784 |
+
"scabbard",
|
| 785 |
+
"scale, weighing machine",
|
| 786 |
+
"school bus",
|
| 787 |
+
"schooner",
|
| 788 |
+
"scoreboard",
|
| 789 |
+
"screen, CRT screen",
|
| 790 |
+
"screw",
|
| 791 |
+
"screwdriver",
|
| 792 |
+
"seat belt, seatbelt",
|
| 793 |
+
"sewing machine",
|
| 794 |
+
"shield, buckler",
|
| 795 |
+
"shoe shop, shoe-shop, shoe store",
|
| 796 |
+
"shoji",
|
| 797 |
+
"shopping basket",
|
| 798 |
+
"shopping cart",
|
| 799 |
+
"shovel",
|
| 800 |
+
"shower cap",
|
| 801 |
+
"shower curtain",
|
| 802 |
+
"ski",
|
| 803 |
+
"ski mask",
|
| 804 |
+
"sleeping bag",
|
| 805 |
+
"slide rule, slipstick",
|
| 806 |
+
"sliding door",
|
| 807 |
+
"slot, one-armed bandit",
|
| 808 |
+
"snorkel",
|
| 809 |
+
"snowmobile",
|
| 810 |
+
"snowplow, snowplough",
|
| 811 |
+
"soap dispenser",
|
| 812 |
+
"soccer ball",
|
| 813 |
+
"sock",
|
| 814 |
+
"solar dish, solar collector, solar furnace",
|
| 815 |
+
"sombrero",
|
| 816 |
+
"soup bowl",
|
| 817 |
+
"space bar",
|
| 818 |
+
"space heater",
|
| 819 |
+
"space shuttle",
|
| 820 |
+
"spatula",
|
| 821 |
+
"speedboat",
|
| 822 |
+
"spider web, spider's web",
|
| 823 |
+
"spindle",
|
| 824 |
+
"sports car, sport car",
|
| 825 |
+
"spotlight, spot",
|
| 826 |
+
"stage",
|
| 827 |
+
"steam locomotive",
|
| 828 |
+
"steel arch bridge",
|
| 829 |
+
"steel drum",
|
| 830 |
+
"stethoscope",
|
| 831 |
+
"stole",
|
| 832 |
+
"stone wall",
|
| 833 |
+
"stopwatch, stop watch",
|
| 834 |
+
"stove",
|
| 835 |
+
"strainer",
|
| 836 |
+
"streetcar, tram, tramcar, trolley, trolley car",
|
| 837 |
+
"stretcher",
|
| 838 |
+
"studio couch, day bed",
|
| 839 |
+
"stupa, tope",
|
| 840 |
+
"submarine, pigboat, sub, U-boat",
|
| 841 |
+
"suit, suit of clothes",
|
| 842 |
+
"sundial",
|
| 843 |
+
"sunglass",
|
| 844 |
+
"sunglasses, dark glasses, shades",
|
| 845 |
+
"sunscreen, sunblock, sun blocker",
|
| 846 |
+
"suspension bridge",
|
| 847 |
+
"swab, swob, mop",
|
| 848 |
+
"sweatshirt",
|
| 849 |
+
"swimming trunks, bathing trunks",
|
| 850 |
+
"swing",
|
| 851 |
+
"switch, electric switch, electrical switch",
|
| 852 |
+
"syringe",
|
| 853 |
+
"table lamp",
|
| 854 |
+
"tank, army tank, armored combat vehicle, armoured combat vehicle",
|
| 855 |
+
"tape player",
|
| 856 |
+
"teapot",
|
| 857 |
+
"teddy, teddy bear",
|
| 858 |
+
"television, television system",
|
| 859 |
+
"tennis ball",
|
| 860 |
+
"thatch, thatched roof",
|
| 861 |
+
"theater curtain, theatre curtain",
|
| 862 |
+
"thimble",
|
| 863 |
+
"thresher, thrasher, threshing machine",
|
| 864 |
+
"throne",
|
| 865 |
+
"tile roof",
|
| 866 |
+
"toaster",
|
| 867 |
+
"tobacco shop, tobacconist shop, tobacconist",
|
| 868 |
+
"toilet seat",
|
| 869 |
+
"torch",
|
| 870 |
+
"totem pole",
|
| 871 |
+
"tow truck, tow car, wrecker",
|
| 872 |
+
"toyshop",
|
| 873 |
+
"tractor",
|
| 874 |
+
"trailer truck, tractor trailer, trucking rig, rig, articulated lorry, semi",
|
| 875 |
+
"tray",
|
| 876 |
+
"trench coat",
|
| 877 |
+
"tricycle, trike, velocipede",
|
| 878 |
+
"trimaran",
|
| 879 |
+
"tripod",
|
| 880 |
+
"triumphal arch",
|
| 881 |
+
"trolleybus, trolley coach, trackless trolley",
|
| 882 |
+
"trombone",
|
| 883 |
+
"tub, vat",
|
| 884 |
+
"turnstile",
|
| 885 |
+
"typewriter keyboard",
|
| 886 |
+
"umbrella",
|
| 887 |
+
"unicycle, monocycle",
|
| 888 |
+
"upright, upright piano",
|
| 889 |
+
"vacuum, vacuum cleaner",
|
| 890 |
+
"vase",
|
| 891 |
+
"vault",
|
| 892 |
+
"velvet",
|
| 893 |
+
"vending machine",
|
| 894 |
+
"vestment",
|
| 895 |
+
"viaduct",
|
| 896 |
+
"violin, fiddle",
|
| 897 |
+
"volleyball",
|
| 898 |
+
"waffle iron",
|
| 899 |
+
"wall clock",
|
| 900 |
+
"wallet, billfold, notecase, pocketbook",
|
| 901 |
+
"wardrobe, closet, press",
|
| 902 |
+
"warplane, military plane",
|
| 903 |
+
"washbasin, handbasin, washbowl, lavabo, wash-hand basin",
|
| 904 |
+
"washer, automatic washer, washing machine",
|
| 905 |
+
"water bottle",
|
| 906 |
+
"water jug",
|
| 907 |
+
"water tower",
|
| 908 |
+
"whiskey jug",
|
| 909 |
+
"whistle",
|
| 910 |
+
"wig",
|
| 911 |
+
"window screen",
|
| 912 |
+
"window shade",
|
| 913 |
+
"Windsor tie",
|
| 914 |
+
"wine bottle",
|
| 915 |
+
"wing",
|
| 916 |
+
"wok",
|
| 917 |
+
"wooden spoon",
|
| 918 |
+
"wool, woolen, woollen",
|
| 919 |
+
"worm fence, snake fence, snake-rail fence, Virginia fence",
|
| 920 |
+
"wreck",
|
| 921 |
+
"yawl",
|
| 922 |
+
"yurt",
|
| 923 |
+
"web site, website, internet site, site",
|
| 924 |
+
"comic book",
|
| 925 |
+
"crossword puzzle, crossword",
|
| 926 |
+
"street sign",
|
| 927 |
+
"traffic light, traffic signal, stoplight",
|
| 928 |
+
"book jacket, dust cover, dust jacket, dust wrapper",
|
| 929 |
+
"menu",
|
| 930 |
+
"plate",
|
| 931 |
+
"guacamole",
|
| 932 |
+
"consomme",
|
| 933 |
+
"hot pot, hotpot",
|
| 934 |
+
"trifle",
|
| 935 |
+
"ice cream, icecream",
|
| 936 |
+
"ice lolly, lolly, lollipop, popsicle",
|
| 937 |
+
"French loaf",
|
| 938 |
+
"bagel, beigel",
|
| 939 |
+
"pretzel",
|
| 940 |
+
"cheeseburger",
|
| 941 |
+
"hotdog, hot dog, red hot",
|
| 942 |
+
"mashed potato",
|
| 943 |
+
"head cabbage",
|
| 944 |
+
"broccoli",
|
| 945 |
+
"cauliflower",
|
| 946 |
+
"zucchini, courgette",
|
| 947 |
+
"spaghetti squash",
|
| 948 |
+
"acorn squash",
|
| 949 |
+
"butternut squash",
|
| 950 |
+
"cucumber, cuke",
|
| 951 |
+
"artichoke, globe artichoke",
|
| 952 |
+
"bell pepper",
|
| 953 |
+
"cardoon",
|
| 954 |
+
"mushroom",
|
| 955 |
+
"Granny Smith",
|
| 956 |
+
"strawberry",
|
| 957 |
+
"orange",
|
| 958 |
+
"lemon",
|
| 959 |
+
"fig",
|
| 960 |
+
"pineapple, ananas",
|
| 961 |
+
"banana",
|
| 962 |
+
"jackfruit, jak, jack",
|
| 963 |
+
"custard apple",
|
| 964 |
+
"pomegranate",
|
| 965 |
+
"hay",
|
| 966 |
+
"carbonara",
|
| 967 |
+
"chocolate sauce, chocolate syrup",
|
| 968 |
+
"dough",
|
| 969 |
+
"meat loaf, meatloaf",
|
| 970 |
+
"pizza, pizza pie",
|
| 971 |
+
"potpie",
|
| 972 |
+
"burrito",
|
| 973 |
+
"red wine",
|
| 974 |
+
"espresso",
|
| 975 |
+
"cup",
|
| 976 |
+
"eggnog",
|
| 977 |
+
"alp",
|
| 978 |
+
"bubble",
|
| 979 |
+
"cliff, drop, drop-off",
|
| 980 |
+
"coral reef",
|
| 981 |
+
"geyser",
|
| 982 |
+
"lakeside, lakeshore",
|
| 983 |
+
"promontory, headland, head, foreland",
|
| 984 |
+
"sandbar, sand bar",
|
| 985 |
+
"seashore, coast, seacoast, sea-coast",
|
| 986 |
+
"valley, vale",
|
| 987 |
+
"volcano",
|
| 988 |
+
"ballplayer, baseball player",
|
| 989 |
+
"groom, bridegroom",
|
| 990 |
+
"scuba diver",
|
| 991 |
+
"rapeseed",
|
| 992 |
+
"daisy",
|
| 993 |
+
"yellow lady's slipper, yellow lady-slipper, Cypripedium calceolus, Cypripedium parviflorum",
|
| 994 |
+
"corn",
|
| 995 |
+
"acorn",
|
| 996 |
+
"hip, rose hip, rosehip",
|
| 997 |
+
"buckeye, horse chestnut, conker",
|
| 998 |
+
"coral fungus",
|
| 999 |
+
"agaric",
|
| 1000 |
+
"gyromitra",
|
| 1001 |
+
"stinkhorn, carrion fungus",
|
| 1002 |
+
"earthstar",
|
| 1003 |
+
"hen-of-the-woods, hen of the woods, Polyporus frondosus, Grifola frondosa",
|
| 1004 |
+
"bolete",
|
| 1005 |
+
"ear, spike, capitulum",
|
| 1006 |
+
"toilet tissue, toilet paper, bathroom tissue",
|
| 1007 |
+
};
|
| 1008 |
+
|
| 1009 |
+
return labels;
|
| 1010 |
+
}
|