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-pose.pt from CollectionStudio/YOLO11: direct link, hf CLI and curl.
- Browser
- Download file 20.4 MB
-
https://huggingface.co/CollectionStudio/YOLO11/resolve/main/yolo11s-pose.pt
- Command line
-
hf download hf://CollectionStudio/YOLO11/yolo11s-pose.pt
-
curl -L -o yolo11s-pose.pt https://huggingface.co/CollectionStudio/YOLO11/resolve/main/yolo11s-pose.pt
20.4 MB
- Xet hash:
- e728f41351056793140cca67fec0678d1ef4785948463e386998c47ca749b14a
- Size of remote file:
- 20.4 MB
- SHA256:
- 1060bda4a27012060eca246f9b2adeea22eabb045a1e58f8d229be29b7ebc2ba
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