ultralytics
TensorBoard
color
color-checker
color-checker-detection
color-science
color-space
color-spaces
colorspace
colorspaces
colour
colour-checker
colour-checker-detection
colour-science
colour-space
colour-spaces
colourspace
colourspaces
image
model
models
segmentation
yolo
Eval Results (legacy)
Instructions to use colour-science/colour-checker-detection-models with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use colour-science/colour-checker-detection-models 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("colour-science/colour-checker-detection-models", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Ctrl+K
This model has 1 file scanned as suspicious.