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
File size: 504 Bytes
96f110e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"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)."
} |