osnet

BoxMOT: Pluggable SOTA multi-object tracking modules modules for segmentation, object detection and pose estimation models

Real-time multi-camera multi-object tracker using YOLOv7 and StrongSORT with OSNet

Vehicle Re-Identification (ReID) dataset contains over 55,000 images for training and validation of the vehicle re-identification model

Detect, track and count different classes of objects.

Implementing and training an AI model for Person Re-Identification task

A novel implementation of Multi-Object Tracking in fixed frame setting

Successfully developed a real-time soccer player re-identification and tracking system using YOLOv11 and Deep SORT with TorchreID-based embeddings.

This is the pipeline 1 for player detection in football match. (gpu recommended)

This project builds a person detection and tracking system that distinguishes between children and adults, assigns unique IDs, and handles occlusions, re-entries, and new appearances. It’s designed to monitor interactions between children with Autism Spectrum Disorder (ASD) and therapists, supporting personalized treatment planning.