Image Segmentation
ultralytics
TensorBoard
yolo
yolo26
instance-segmentation
drone
uav
robotics
sae-eletroquad
Eval Results (legacy)
Instructions to use blackbeedrones/sae-2026-hang-all-yolo26n-seg-v2-960 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use blackbeedrones/sae-2026-hang-all-yolo26n-seg-v2-960 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("blackbeedrones/sae-2026-hang-all-yolo26n-seg-v2-960") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| P@50,P@75,small_objects_P@50,small_objects_P@75,medium_objects_P@50,medium_objects_P@75,large_objects_P@50,large_objects_P@75 | |
| 0.5000769814406364,0.4067890475045869,0.3483093592378106,0.2181019988791332,0.5042465600869253,0.37793218446331633,0.6202826816256943,0.6010801297915636 | |