Datasets:
File size: 1,268 Bytes
418045c 886611b 418045c 4956f34 a708663 418045c 4956f34 418045c 567f200 418045c 7dce8e3 567f200 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 |
---
dataset_info:
features:
- name: image_id
dtype: int64
- name: filename
dtype: string
- name: image
dtype: image
- name: height
dtype: int32
- name: width
dtype: int32
- name: objects
sequence:
- name: id
dtype: int64
- name: category
dtype:
class_label:
names:
'0': traffic sign
'1': motorcycle
'2': car
'3': rider
'4': person
'5': truck
'6': autorickshaw
'7': vehicle fallback
'8': bus
- name: bbox
sequence: float32
length: 4
- name: area
dtype: float32
splits:
- name: train
num_bytes: 16537488347.988
num_examples: 31124
- name: validation
num_bytes: 5109718001.124417
num_examples: 10171
download_size: 21636854209
dataset_size: 21647206349.11242
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
- split: validation
path: data/validation-*
task_categories:
- object-detection
size_categories:
- 10K<n<100K
---
The IDD Object Detection dataset containing 40K images with CPPE-5 like (or YOLO) dataset annotation format.\
Refer to the original dataset: https://idd.insaan.iiit.ac.in |