Object Detection
ultralytics
yolo
instance-segmentation
image-classification
pose-estimation
obb
tracking
yolo11
Eval Results (legacy)
Instructions to use CollectionStudio/YOLO11 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use CollectionStudio/YOLO11 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("CollectionStudio/YOLO11", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download yolo11s.pt from CollectionStudio/YOLO11: direct link, hf CLI and curl.
- Browser
- Download file 19.3 MB
-
https://huggingface.co/CollectionStudio/YOLO11/resolve/main/yolo11s.pt
- Command line
-
hf download hf://CollectionStudio/YOLO11/yolo11s.pt
-
curl -L -o yolo11s.pt https://huggingface.co/CollectionStudio/YOLO11/resolve/main/yolo11s.pt
19.3 MB
- Xet hash:
- 6f243ab3be2aa9391255d303a2bb65dd509207e64c285e4a7ce1785b9f3b37d9
- Size of remote file:
- 19.3 MB
- SHA256:
- 85a76fe86dd8afe384648546b56a7a78580c7cb7b404fc595f97969322d502d5
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