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| # Vision AI - Object Detection System | |
| This is a premium, end-to-end object detection application built with **Flask**, **YOLOv8**, and modern **Web Technologies**. | |
| ## Features | |
| - **Instant Image Analysis**: Detect 80+ common objects in images. | |
| - **Video Processing**: Supports .mp4, .avi, and .mov formats. | |
| - **Premium UI**: Modern glassmorphism design with responsive layout. | |
| - **Detailed Stats**: View counts and labels for detected objects. | |
| - **Downloadable Results**: Save the analyzed files with bounding boxes. | |
| ## Tech Stack | |
| - **Backend**: Python, Flask, Ultralytics YOLOv8, OpenCV | |
| - **Frontend**: HTML5, CSS3 (Vanilla Javascript), FontAwesome, Google Fonts | |
| ## Installation | |
| 1. Install dependencies: | |
| ```bash | |
| pip install -r requirements.txt | |
| ``` | |
| 2. Run the application: | |
| ```bash | |
| python app.py | |
| ``` | |
| 3. Open `http://localhost:5000` in your browser. | |
| ## Model Details | |
| The system uses the **YOLOv8n** (Nano) model, which is optimized for speed and efficiency. It is pre-trained on the COCO dataset, allowing it to recognize people, cars, animals, electronics, and much more. | |