README.md

metadata

title: TrackIQ — Traffic Road Detection
emoji: 🚦
colorFrom: blue
colorTo: purple
sdk: docker
pinned: false
app_port: 7860

🚦 TrackIQ — Traffic Road Detection App

TrackIQ is a real-time traffic object detection and tracking application powered by YOLO.

Features

• 🎥 Upload and analyze traffic videos
• 🚗 Detect vehicles, motorcycles, trucks, buses, pedestrians, bicycles, traffic lights, and road signs
• 📊 Live dashboard with detection statistics
• 📁 Session history and CSV log export
• ⚡ CPU-optimized inference with frame skipping

How to Use

1. Go to the Home page and upload a video
2. Click Run to start detection
3. Watch detections stream live on the video
4. View stats on the Dashboard
5. Export logs from the Logs page

Model

⚠️ Upload your YOLO model to the models/ folder before running. Supported: yolo11n.pt, yolov8n.pt, etc.

Upload the model via the Files tab in your HuggingFace Space settings.

Tech Stack

• Flask (Python backend)
• Ultralytics YOLO
• OpenCV
• HTML/CSS/JS frontend