Instructions to use erayyapagci/yolo26n-question-segmentation-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use erayyapagci/yolo26n-question-segmentation-v2 with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("erayyapagci/yolo26n-question-segmentation-v2") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "old_test_dedup": { | |
| "weights": "/home/zerix/question-parser/runs/detect/runs/question-parser/yolo26n_plus_qeval_dedup_iou90_50ep_b6/weights/best.pt", | |
| "mp": 0.98788596711896, | |
| "mr": 0.9829867674858223, | |
| "map50": 0.9887222792051488, | |
| "map50_95": 0.9239183687496076, | |
| "fitness": 0.9239183687496076, | |
| "save_dir": "/home/zerix/question-parser/out/model_compare/test_compare_20260530/yolo26n__old_test_dedup" | |
| }, | |
| "combined_test_dedup": { | |
| "weights": "/home/zerix/question-parser/runs/detect/runs/question-parser/yolo26n_plus_qeval_dedup_iou90_50ep_b6/weights/best.pt", | |
| "mp": 0.9907554487154436, | |
| "mr": 0.9883919426425402, | |
| "map50": 0.9929416780895504, | |
| "map50_95": 0.9623558129996036, | |
| "fitness": 0.9623558129996036, | |
| "save_dir": "/home/zerix/question-parser/out/model_compare/test_compare_20260530/yolo26n__combined_test_dedup" | |
| } | |
| } |