Image Segmentation
ultralytics
PyTorch
yolo
yolo11
deep-learning
satellite
rso-detection
custom_code
Eval Results (legacy)
Instructions to use rayh/astro-seg with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use rayh/astro-seg with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("rayh/astro-seg") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "_name_or_path": "best", | |
| "architectures": [ | |
| "YOLOSegmentationPipeline" | |
| ], | |
| "auto_map": { | |
| "AutoModel": "modeling_yolo.YOLOSegmentationPipeline", | |
| "AutoModelForImageSegmentation": "modeling_yolo.YOLOSegmentationPipeline" | |
| }, | |
| "framework": "pytorch", | |
| "id2label": { | |
| "0": "streak" | |
| }, | |
| "label2id": { | |
| "streak": 0 | |
| }, | |
| "labels": [ | |
| "streak" | |
| ], | |
| "library_name": "transformers", | |
| "metrics": { | |
| "map50": 0.87504, | |
| "map50_95": 0.61945 | |
| }, | |
| "model_type": "yolo", | |
| "pipeline_tag": "image-segmentation", | |
| "feature_extractor_type": "YOLOImageProcessor", | |
| "processor_class": "YOLOImageProcessor", | |
| "image_processor_type": "YOLOImageProcessor", | |
| "inference": { | |
| "parameters": { | |
| "threshold": 0.5, | |
| "iou_threshold": 0.5, | |
| "mask_threshold": 0.5 | |
| } | |
| }, | |
| "task_specific_params": { | |
| "image-segmentation": { | |
| "model_class": "YOLOSegmentationPipeline" | |
| } | |
| }, | |
| "tags": [ | |
| "object-detection", | |
| "image-segmentation", | |
| "yolo", | |
| "endpoints_compatible", | |
| "has_space" | |
| ] | |
| } |