byte-tracking

a GUI application, which uses YOLOs (YOLOv8, YOLO11, YOLOv13) for Object Detection/Tracking, Human Pose Estimation/Tracking from images, videos or camera

YoloX with tracking for a bare Raspberry Pi 4 using ncnn.

Real-time face mask detection using YOLO, OpenCV, PyTorch and ByteTrack, with image/video/webcam inference, multi-object tracking, evaluation metrics, and automated testing.

NanoDet with tracking for a bare Raspberry Pi 4 using ncnn.

This project provides an intelligent real-time traffic monitoring system that detects, tracks, counts vehicles, and estimates speed using perspective transformation.

ByteTrack for multi-object tracking with many Detectors

Real-time soccer player tracking & re-identification with YOLOv11, plus a benchmarked comparison of ByteTrack, BoT-SORT, DeepSORT, and Norfair on 720p/4K footage. Python · OpenCV · Ultralytics.

Counting Bees

AI-powered retail intelligence system that converts CCTV footage into real-time store analytics using YOLOv8, ByteTrack, FastAPI, and live dashboards.

AI-powered Driver Assistance System using YOLO11, ByteTrack, LangChain, Llama 3.3, and Microsoft Edge TTS

A self-contained ByteTrack implementation extracted from Ultralytics YOLO. This tracker works with any detector and has no Ultralytics runtime dependency.

An attendance solution that recognizes students from classroom video and automates accurate, contactless attendance tracking.

Real-time CCTV threat detection pipeline built with Python, YOLO26n, ByteTrack, MediaPipe Pose, and OpenCV to detect fights, loitering, weapons, and abandoned objects from video streams.

AI-powered pothole and road-hazard detection using YOLO26, ByteTrack, OpenCV and Streamlit.

Real-time Store Intelligence System that transforms CCTV footage into actionable retail insights through computer vision, event processing, and analytics dashboards.

AI-powered vehicle detection, tracking and counting system using YOLO11n, ByteTrack, OpenCV and Streamlit.