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Object detection using YOLOv3 Tiny is implemented. The tiny version was chosen to keep the model light, thus providing higher Frames Per Second(FPS) on mid and low end devices.
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Complete model was trained on Google Colab
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Dataset was acquired from Open Images Dataset
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YOLOv3 Tiny was trained with AlexeyAB's darknet framework
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Here's a YouTube video demonstrating the working of my model
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Model info-
- Iterations - 3000
- mean Average Precision (mAP) - 72 %
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All predictions were done using yolov3-tiny-obj_last.weights
