Instructions to use BVRA/TurtleDetector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use BVRA/TurtleDetector with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("BVRA/TurtleDetector") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download training/segmentation_stage2.yaml from BVRA/TurtleDetector: direct link, hf CLI and curl.
- Browser
- Download file 176 Bytes
-
https://huggingface.co/BVRA/TurtleDetector/resolve/main/training/segmentation_stage2.yaml
- Command line
-
hf download hf://BVRA/TurtleDetector/training/segmentation_stage2.yaml
-
curl -L -o segmentation_stage2.yaml https://huggingface.co/BVRA/TurtleDetector/resolve/main/training/segmentation_stage2.yaml
176 Bytes
| path: /data/wildlife_datasets/turtle-detector | |
| train: train.txt | |
| val: val.txt | |
| nc: 6 | |
| names: | |
| 0: turtle | |
| 1: head | |
| 2: flipper_fl | |
| 3: flipper_fr | |
| 4: flipper_hl | |
| 5: flipper_hr | |