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:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("albitro/phoenix_detection", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 237 Bytes
96f110e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | train: train/images
val: valid/images
test: test/images
nc: 2
names: ['fire', 'person']
roboflow:
workspace: -ssifa
project: it-t82tu
version: 1
license: CC BY 4.0
url: https://universe.roboflow.com/-ssifa/it-t82tu/dataset/1
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