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
|
Download README.md from GreenMap/yolo11x-blueprint-legend-layout-detector: direct link, hf CLI and curl.
- Browser
- Download file 1.98 kB
-
https://huggingface.co/GreenMap/yolo11x-blueprint-legend-layout-detector/resolve/3deed2b93e4d28f7f8805d2566a4a29005f75ffe/README.md
- Command line
-
hf download hf://GreenMap/yolo11x-blueprint-legend-layout-detector@3deed2b93e4d28f7f8805d2566a4a29005f75ffe/README.md
-
curl -L -o README.md https://huggingface.co/GreenMap/yolo11x-blueprint-legend-layout-detector/resolve/3deed2b93e4d28f7f8805d2566a4a29005f75ffe/README.md
1.98 kB
| license: apache-2.0 | |
| library_name: ultralytics | |
| pipeline_tag: object-detection | |
| tags: | |
| - yolo | |
| - yolo11 | |
| - object-detection | |
| - blueprint | |
| - floorplan | |
| - architecture | |
| - construction | |
| - legend | |
| - document-layout | |
| - cad | |
| # GreenMap/yolo11x-blueprint-legend-detector | |
|  | |
| ## Overview | |
| YOLO11x model trained to detect structural elements inside blueprint legends on architectural and construction drawings. | |
| - Detects legend symbols (hatch patterns and graphical symbols). | |
| - Detects legend descriptions. | |
| - Detects complete legend rows. | |
| - Detects legend continuation blocks. | |
| - Trained on architectural floor plans and construction drawings. | |
| ## Classes | |
| | ID | Class | Purpose | | |
| |----|---------------------------|---------------------------------------------------------------| | |
| | 0 | legend_symbol | Graphical symbol or hatch pattern representing a construction element or material. | | |
| | 1 | legend_description | Text description corresponding to a legend symbol. | | |
| | 2 | legend_row | Complete legend entry containing a symbol and its associated description. | | |
| | 3 | legend_continuation_block | A block containing the continuous legend elements. | | |
| ## Training Metrics | |
|  | |
| ## Validation Metrics | |
| | Class | Images | Instances | Precision | Recall | mAP50 | mAP50-95 | | |
| |-------|--------|-----------|-----------|--------|-------|----------| | |
| | all | 62 | 2407 | 0.896 | 0.873 | 0.895 | 0.677 | | |
| | legend_symbol | 62 | 802 | 0.977 | 0.968 | 0.975 | 0.885 | | |
| | legend_description | 62 | 779 | 0.966 | 0.950 | 0.973 | 0.750 | | |
| | legend_row | 62 | 762 | 0.927 | 0.950 | 0.967 | 0.716 | | |
| | continuous_elements_block | 44 | 64 | 0.714 | 0.625 | 0.665 | 0.357 | | |
| ## Training | |
| - Base model: YOLO11x | |
| - Task: Object Detection | |
| - Input size: 1472 × 1472 | |
| - Framework: Ultralytics YOLO |