Object Detection
ultralytics
PyTorch
yolosv5
ultralyticsplus
yolov5
yolo
vision
awesome-yolov8-models
indonesia
layout detector
Eval Results (legacy)
Instructions to use hermanshid/yolo-layout-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use hermanshid/yolo-layout-detector with ultralytics:
from ultralytics import YOLOvv5 model = YOLOvv5.from_pretrained("hermanshid/yolo-layout-detector") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "do_normalize": true, | |
| "do_resize": true, | |
| "feature_extractor_type": "YolosFeatureExtractor", | |
| "format": "coco_detection", | |
| "image_mean": [ | |
| 0.485, | |
| 0.456, | |
| 0.406 | |
| ], | |
| "image_std": [ | |
| 0.229, | |
| 0.224, | |
| 0.225 | |
| ], | |
| "max_size": 1333, | |
| "size": 640 | |
| } |