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This repository contains the YOLO model trained on the COCO Dataset for Object Detection. The model gave an IoU of about 69% on the test dataset and can be used as a onnx model
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Model Details:
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Task: Object Detection
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Architecture : YOLO Model stored in onnx format
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Input Size: Varying size but resized to 640x640 pixels with 3 channels(RGB)
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Dataset : The model is trained on unnormalized dataset
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Dataset used: PASCAL VOC Dataset which is a subset of COCO Dataset
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IoU: 69%
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This repository contains the YOLO model trained on the COCO Dataset for Object Detection. The model gave an IoU of about 69% on the test dataset and can be used as a onnx model
|
2 |
|
3 |
Model Details:
|
4 |
+
Task: Object Detection
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5 |
+
Architecture : YOLO Model stored in onnx format
|
6 |
+
Input Size: Varying size but resized to 640x640 pixels with 3 channels(RGB)
|
7 |
+
Dataset : The model is trained on unnormalized dataset
|
8 |
+
Dataset used: PASCAL VOC Dataset which is a subset of COCO Dataset
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9 |
+
IoU: 69%
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