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| title: YOLO Trainer & Detector | |
| emoji: π― | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 5.29.0 | |
| app_file: app.py | |
| pinned: false | |
| license: apache-2.0 | |
| short_description: Train YOLOv8 and run object detection | |
| # π― YOLO Trainer & Detector | |
| Train a YOLOv8 object detection model and run inference β all from a web UI. | |
| ## Features | |
| - **ποΈ Training Tab** β Train YOLOv8 on the [yolo-detection-dataset](https://huggingface.co/datasets/dharshanzeb/yolo-detection-dataset) with configurable hyperparameters. Real-time training logs and metrics charts. | |
| - **π Inference Tab** β Upload any image and detect objects using your trained model or a pretrained COCO model. Bounding boxes drawn with confidence scores. | |
| - **π Live Metrics** β Loss curves and mAP charts update after each epoch. | |
| ## How to Use | |
| 1. Go to the **Train** tab | |
| 2. Pick model size, epochs, batch size, learning rate | |
| 3. Click **Start Training** β watch logs and metrics in real-time | |
| 4. Switch to the **Inference** tab | |
| 5. Upload an image β see detections! | |