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  license: cc-by-4.0
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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- # Color Checker Detection Dataset
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- An image dataset of colour rendition charts, including:
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-
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- - Calibrite / X-Rite ColorCheckerClassic 24
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  This dataset is structured according to [Ultralytics YOLO format](https://docs.ultralytics.com/datasets/detect/#usage) and ready to use with [YOLOv8](https://github.com/ultralytics/ultralytics).
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- The weights are supporting colour rendition charts detection in [Colour Checker Detection](https://github.com/colour-science/colour-checker-detection)
 
 
 
 
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  # Contact & Social
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  The *Colour Developers* can be reached via different means:
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- - `Email <mailto:colour-developers@colour-science.org>`__
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- - `Facebook <https://www.facebook.com/python.colour.science>`__
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- - `Github Discussions <https://github.com/colour-science/colour-checker-detection/discussions>`__
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- - `Gitter <https://gitter.im/colour-science/colour>`__
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- - `Twitter <https://twitter.com/colour_science>`__
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  # About
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- | **Color Checker Detection Dataset** by Colour Developers
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- | Copyright 2023 Colour Developers – `colour-developers@colour-science.org <colour-developers@colour-science.org>`__
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- | This software is released under terms of CC-BY-4.0: https://creativecommons.org/licenses/by/4.0/
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- | `https://github.com/colour-science/colour-checker-detection <https://github.com/colour-science/colour-checker-detection>`__
 
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  license: cc-by-4.0
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+ task_categories:
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+ - object-detection
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+ tags:
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+ - color
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+ - color-checker
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+ - color-checker-detection
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+ - color-science
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+ - color-space
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+ - color-spaces
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+ - colorspace
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+ - colorspaces
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+ - colour
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+ - colour-checker
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+ - colour-checker-detection
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+ - colour-science
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+ - colour-space
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+ - colour-spaces
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+ - colourspace
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+ - colourspaces
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+ - dataset
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+ - image
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+ - segmentation
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+ - yolo
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+ pretty_name: Colour - Checker Detection - Dataset
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+ size_categories:
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+ - n<1K
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  ---
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+ # Colour - Checker Detection - Dataset
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+ An image dataset of colour rendition charts.
 
 
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  This dataset is structured according to [Ultralytics YOLO format](https://docs.ultralytics.com/datasets/detect/#usage) and ready to use with [YOLOv8](https://github.com/ultralytics/ultralytics).
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+ The [colour-science/colour-checker-detection-models](https://huggingface.co/colour-science/colour-checker-detection-models) models resulting from the YOLOv8 segmentation training are supporting colour rendition charts detection in the [Colour Checker Detection](https://github.com/colour-science/colour-checker-detection) Python package.
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+
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+ ## Classes
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+
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+ - **ColorCheckerClassic24**: Calibrite / X-Rite ColorCheckerClassic 24
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  # Contact & Social
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  The *Colour Developers* can be reached via different means:
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+ - [Email](mailto:colour-developers@colour-science.org>)
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+ - [Facebook](https://www.facebook.com/python.colour.science>)
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+ - [Github Discussions](https://github.com/colour-science/colour-checker-detection/discussions>)
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+ - [Gitter](https://gitter.im/colour-science/colour>)
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+ - [Twitter](https://twitter.com/colour_science>)
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  # About
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+ **Colour - Checker Detection - Dataset** by Colour Developers \
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+ Copyright 2024 Colour Developers – [mailto:colour-developers@colour-science.org](colour-developers@colour-science.org) \
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+ This software is released under terms of CC-BY-4.0: https://creativecommons.org/licenses/by/4.0/ \
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+ [https://huggingface.co/datasets/colour-science/colour-checker-detection-dataset](https://huggingface.co/datasets/colour-science/colour-checker-detection-dataset)