Create README.md

README.md

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+---
+pretty_name: ColorFM Stage 1 Color-Transfer Dataset
+tags:
+  - image
+  - color-transfer
+  - computer-vision
+---
+
+# ColorFM Stage 1 Color-Transfer Dataset
+
+This dataset contains image triplets generated for training the ColorFM-L model: a content image, a style image, and the corresponding ColorFM-O color-transfer result.
+
+## Dataset Details
+
+### Dataset Description
+
+The dataset was prepared for Stage 2 offline training of ColorFM-L. Stage 1 uses ColorFM-O to generate a color-transfer target for a content/style image pair.
+
+- **Repository:** [heyh97791/ColorFM](https://huggingface.co/datasets/heyh97791/ColorFM)
+- **Paper:** [ColorFM on arXiv](https://arxiv.org/abs/2607.07119)
+- **Generated target resolution:** 512 × 512
+
+### Dataset Sources
+
+The source photographs were obtained from Unsplash. The generated target images were produced by applying ColorFM-O to content/style pairs.
+
+## Dataset Structure
+
+The repository is organized by image category. Each category has an original-image folder and a corresponding `styled_<category>` folder. For example:
+
+```text
+animal/
+  001.jpg
+  002.jpg
+styled_animal/
+  001/
+    001_002.png
+    001_003.png
+  002/
+    002_001.png
+```
+
+A generated filename `contentID_styleID.png` identifies the content image and style image used to create that target. The content and style images are stored once in the original-image folder and may be reused across multiple pairs.
+
+The available categories are `animal`, `city_street_building`, `indoor`, `nature`, `portraits`, `random`, and `still_life`.
+
+The release contains the available generated pairs after curation; it should not be assumed to contain every possible pair.
+
+## Source Data and Rights
+The original images in dataset ColorFM were sourced from [Unsplash](https://unsplash.com/) and are used solely for non-commercial academic research. Copyright remains with the respective photographers; the images are not relicensed under this project's license. For rights-related inquiries or removal requests, please contact us.
+
+## Citation
+If you use ColorFM, please cite:
+
+```bibtex
+@inproceedings{he2026colorfm,
+  title={ColorFM: An Optimization-to-Learning Framework for Color Transfer via Flow Matching},
+  author={He, Yuhang and Zhang, Kai and Li, Xiaoming and Chen, Du and Yang, Jian},
+  booktitle={European Conference on Computer Vision},
+  year={2026}
+}
+```