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.

Complete model was trained on Google Colab

Dataset was acquired from Open Images Dataset

YOLOv3 Tiny was trained with AlexeyAB's darknet framework

Here's a YouTube video demonstrating the working of my model

Model info-

• Iterations - 3000
• mean Average Precision (mAP) - 72 %

All predictions were done using yolov3-tiny-obj_last.weights