Image Segmentation
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results (legacy)
Instructions to use keremberke/yolov8m-building-segmentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use keremberke/yolov8m-building-segmentation with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("keremberke/yolov8m-building-segmentation", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Download thumbnail.jpg from keremberke/yolov8m-building-segmentation: direct link, hf CLI and curl.
- Browser
- Download file 355 kB
-
https://huggingface.co/keremberke/yolov8m-building-segmentation/resolve/bebce268e4b7177f522a8c05895aeb899b4a5439/thumbnail.jpg
- Command line
-
hf download hf://keremberke/yolov8m-building-segmentation@bebce268e4b7177f522a8c05895aeb899b4a5439/thumbnail.jpg
-
curl -L -o thumbnail.jpg https://huggingface.co/keremberke/yolov8m-building-segmentation/resolve/bebce268e4b7177f522a8c05895aeb899b4a5439/thumbnail.jpg
355 kB