Update README.md

README.md

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 ---
 title: HockeyAI
-emoji: 🔥
-colorFrom: purple
-colorTo: red
+emoji: 🏒
+colorFrom: blue
+colorTo: indigo
 sdk: gradio
 sdk_version: 5.11.0
 app_file: app.py
@@ -10,4 +10,38 @@ pinned: false
 license: mit
 ---
 
+# 🏒 HockeyAI: A Multi-Class Ice Hockey Dataset for Object Detection
+
+## Overview
+HockeyAI is a specialized dataset and object detection system designed for ice hockey analysis. Built on the YOLOv8 architecture, this project provides accurate detection of key hockey game elements including players, officials, and game-specific features. The project includes both a comprehensive dataset and benchmark implementations using YOLOv8.
+
+## 🎯 Dataset Classes
+Our dataset includes seven key classes essential for hockey game analysis:
+- Center Ice (centerIce)
+- Face-off Circles (faceoff)
+- Goals (goal)
+- Goaltenders (goaltender)
+- Players (player)
+- Pucks (puck)
+- Referees (referee)
+
+## 📊 Model Specifications
+- **Architecture**: YOLOv8 Medium
+- **Framework**: Ultralytics YOLOv8
+
+## 🔧 Usage Guide
+1. Upload any ice hockey game frame
+2. The model will detect and classify:
+   - Game elements (center ice, face-off circles, goals)
+   - Personnel (players, goaltenders, referees)
+   - Equipment (pucks)
+3. View results with bounding boxes and confidence scores
+
+## 💻 Technical Implementation
+- **Backend**: Python 3.9+
+- **Interface**: Gradio 5.11.0
+- **Deep Learning Framework**: PyTorch
+- **Hardware Optimization**: GPU-accelerated inference
+
+
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference