Object Detection
ultralytics
English
yolo
yolov8
yolov8n
floor-plan
floorplan
cad
architecture
architectural-drawings
symbol-spotting
floorplancad
computer-vision
aec
bim
Instructions to use mudasir13cs/floorcad-yolov8n-detect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use mudasir13cs/floorcad-yolov8n-detect with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("mudasir13cs/floorcad-yolov8n-detect") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 2a0bff5d4b452e7d08d1ae96694a871fa081c8e1964235e60e93e9d6c288eeb4
- Size of remote file:
- 283 kB
- SHA256:
- 4480b9a587b3548a61c05086f9a7240e90008f1d732490197773471ed8bf96d6
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