Object Detection
ultralytics
yolo
yolo11
blueprint
floorplan
architecture
construction
legend
document-layout
cad
Instructions to use GreenMap/yolo11x-blueprint-legend-layout-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use GreenMap/yolo11x-blueprint-legend-layout-detector with ultralytics:
# Couldn't find a valid YOLO version tag. # Replace XX with the correct version. from ultralytics import YOLOvXX model = YOLOvXX.from_pretrained("GreenMap/yolo11x-blueprint-legend-layout-detector") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
update model
Browse files- README.md +5 -5
- yolo_legend_layout.pt +2 -2
README.md
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@@ -46,11 +46,11 @@ YOLO11x model trained to detect structural elements inside blueprint legends on
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| Class | Images | Instances | Precision | Recall | mAP50 | mAP50-95 |
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|-------|--------|-----------|-----------|--------|-------|----------|
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| all |
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| legend_symbol |
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| legend_description |
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| legend_row |
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| continuous_elements_block |
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## Training
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| Class | Images | Instances | Precision | Recall | mAP50 | mAP50-95 |
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|-------|--------|-----------|-----------|--------|-------|----------|
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| all | 62 | 2407 | 0.896 | 0.873 | 0.895 | 0.677 |
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| legend_symbol | 62 | 802 | 0.977 | 0.968 | 0.975 | 0.885 |
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| legend_description | 62 | 779 | 0.966 | 0.950 | 0.973 | 0.750 |
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| legend_row | 62 | 762 | 0.927 | 0.950 | 0.967 | 0.716 |
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| continuous_elements_block | 44 | 64 | 0.714 | 0.625 | 0.665 | 0.357 |
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## Training
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yolo_legend_layout.pt
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