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
File size: 249 Bytes
e10380e | 1 2 3 4 | class_id,class_name,ap50,ap50_95,precision,recall,f1_score
0,rose,0.5668243765830994,0.5668243765830994,0.44575163398692813,0.963276836158192,0.6094727435210009
1,sphere,0.9092336297035217,0.9092336297035217,0.630901287553648,1.0,0.7736842105263158
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