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 | 68 | 2821 | 0.912 | 0.903 | 0.918 | 0.735 |
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| legend_symbol | 68 | 907 | 0.982 | 0.986 | 0.993 | 0.890 |
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| legend_description | 68 | 956 | 0.977 | 0.984 | 0.993 | 0.831 |
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| legend_row | 68 | 901 | 0.962 | 0.984 | 0.990 | 0.799 |
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| continuous_elements_block | 41 | 57 | 0.727 | 0.655 | 0.696 | 0.421 |
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## Training
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yolo_legend_layout.pt
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