johnamit
/

motoreid

@@ -15,17 +15,15 @@ datasets:
 pipeline_tag: object-detection
 library_name: ultralytics
 ---
-# 🏍️ MotoReID:
 <div>
 A deep learning pipeline for **MotoGP team detection, tracking, and re-identification** from race broadcast footage. This system combines **YOLOv8** for robust object detection with **DINOv3** (Vision Transformer) embeddings for semantic team classification. It addresses specific challenges in high-speed sports computer vision: persistent identity tracking across extreme occlusions, rapid camera cuts, and motion blur. This project is in active development.
-[![GitHub](https://img.shields.io/badge/GitHub-Repository-181717?style=for-the-badge&logo=github)](https://github.com/johnamit/mgp-detect)
 </div>
 ## Model Overview
 This repository contains trained model weights for the [MotoReID](https://github.com/johnamit/mgp-detect) project.

 pipeline_tag: object-detection
 library_name: ultralytics
 ---
 <div>
+<img src="MotoReID.png" alt="MotoReID" width="900">
 A deep learning pipeline for **MotoGP team detection, tracking, and re-identification** from race broadcast footage. This system combines **YOLOv8** for robust object detection with **DINOv3** (Vision Transformer) embeddings for semantic team classification. It addresses specific challenges in high-speed sports computer vision: persistent identity tracking across extreme occlusions, rapid camera cuts, and motion blur. This project is in active development.
+  [![GitHub](https://img.shields.io/badge/GitHub-Repository-181717?style=for-the-badge&logo=github)](https://github.com/johnamit/mgp-detect)
 </div>
 ## Model Overview
 This repository contains trained model weights for the [MotoReID](https://github.com/johnamit/mgp-detect) project.