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Dart Sense is an automatic dart scoring application. It uses a sophisticated deep learning-based computer vision model to predict the positions of the darts, all while calibrating the board automatically to compute scores. Includes Python app app which can score a game of darts in real time using video streamed from a smartphone.
real-time cpu only eye-tracking using a pretrained yolov8n face detection model and a custom finetuned yolov8n-pose model for the eyes. supports both live webcam feed and video files.
Realtime object detection robot using yolo 8vn that says "human detected" on detecting human and an arduino based object avoiding robot on which the phone camera is setup that transfers the video using ip webcam app to laptop that runs this yolo code
This project is a production-ready YOLOv8n Computer Vision model for industrial egg fertility sorting with aws implementation plans including cost reporting.