Instructions to use albitro/phoenix_detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use albitro/phoenix_detection with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("albitro/phoenix_detection") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "source": "<project>/datasets/fire", | |
| "generated": "2026-08-13T19:24:38", | |
| "image_format": "png", | |
| "pipeline": { | |
| "mode": "full", | |
| "gamma": 1.0, | |
| "lowlight": false, | |
| "clahe_clip": 2.0, | |
| "clahe_tile": 8, | |
| "omega": 0.95, | |
| "t0": 0.1, | |
| "patch": 15, | |
| "scale": 0.25, | |
| "use_guided": true, | |
| "guided_radius": 8, | |
| "guided_eps": 0.001, | |
| "a_max": 0.92, | |
| "sky_ratio": 1.0 | |
| }, | |
| "note": "라벨·분할은 원본 그대로. 픽셀값만 다릅니다 (HANDOVER 7-4)." | |
| } |