Inspiration

Simple project utilizing object detection for me to learn and get into the ghw challs.

What it does

This project is used for object detection and uses the YOLO model with the COCO dataset. YOLO (You Only Look Once) is a state-of-the-art, real-time object detection system that applies a single neural network to the full image. YOLOv3-tiny is a smaller, faster version of YOLOv3, making it suitable for real-time applications on limited hardware.

Challenges we ran into

I tried applying transfer learning for making it more accurate but was unable to freeze the last layers.

What's next for Object Detection using YOLOv3-tiny

Application of a larger dataset with transfer learning for higher accuracy detection at lower processing time.

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