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
| [ | |
| { | |
| "class_id": 0, | |
| "class_name": "rose", | |
| "ap50": 0.5668243765830994, | |
| "ap50_95": 0.5668243765830994, | |
| "precision": 0.44575163398692813, | |
| "recall": 0.963276836158192, | |
| "f1_score": 0.6094727435210009 | |
| }, | |
| { | |
| "class_id": 1, | |
| "class_name": "sphere", | |
| "ap50": 0.9092336297035217, | |
| "ap50_95": 0.9092336297035217, | |
| "precision": 0.630901287553648, | |
| "recall": 1.0, | |
| "f1_score": 0.7736842105263158 | |
| } | |
| ] |