Instructions to use GreenMap/yolo11x-blueprint-wall-detector with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use GreenMap/yolo11x-blueprint-wall-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-wall-detector") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
GreenMap/yolo11x-blueprint-wall-detector
Overview
YOLO11x model trained to detect wall segments on architectural and construction blueprints.
- Detects wall segments on blueprint images.
- Trained on architectural floor plans and construction drawings.
Classes
- ID: 0.
- Class: wall.
- Description: A wall segment represented as an individual construction element on an architectural blueprint. The class includes structural walls, partitions, and wall layers that are measured independently for quantity takeoff.
Training Metrics
Validation Metrics
| Class | Images | Instances | Precision | Recall | mAP50 | mAP50-95 |
|---|---|---|---|---|---|---|
| all | 36 | 445 | 0.902 | 0.928 | 0.942 | 0.755 |
Training
- Base model: YOLO11x
- Task: Object Detection
- Classes: wall
- Input size: 736 × 736
- Framework: Ultralytics YOLO
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