Object Detection
ultralytics
yolo
instance-segmentation
image-classification
pose-estimation
obb
tracking
semantic-segmentation
yolo26
Eval Results (legacy)
Instructions to use Ultralytics/YOLO26 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use Ultralytics/YOLO26 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("Ultralytics/YOLO26") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 285bcd85dd37e838ba7adacea5e5fbdb168c4f59c84606344aae5b7f64d334ed
- Size of remote file:
- 6.72 MB
- SHA256:
- 361fbfabab285c3237700b6bb91d7ecfa602cd945fffda8dbe1242829b71e73f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.