| --- |
| task_categories: |
| - image-to-image |
| tags: |
| - color-transfer |
| --- |
| # Color Transfer Dataset |
| In my publication titled "A Software Test Bed for Sharing and Evaluating Color Transfer Algorithms for Images and 3D Objects", I introduced a dataset comprising a diverse collection of images. These images span various scenes, sizes, and color depths, specifically designed for color transfer evaluation. |
|
|
| ## Details |
| - Representation of five distinct scenes: abstract, city, closeup, interior, and landscape. |
| - A collection of ten images for each scene, totaling 50 unique images. |
| - Each of the 50 images is available in four resolutions: 256x256px, 512x512px, 1024x1024px, and 2048x2048px. |
| - Variation in color depth for all 200 resized images, processed using Photoshop's Indexed Color Mode: 4-color palette, 16-color palette, 256-color palette, and the original color depth. |
| - A comprehensive compilation of 800 images. |
| - The initial set of 50 images was sourced from flickr.com, adhering to the CC BY 2.0, CC BY-SA 2.0, and CC BY-NC 2.0 license models. These images were subsequently cropped to a resolution of 2048x2048px. |
|
|
| <p align="center"> |
| <img src="https://cdn-uploads.huggingface.co/production/uploads/6331b00ab7b8e9d6e89a5dc0/SnGqrxXbphBG4Rg1a9pRw.webp" width="512"> |
| <em>Figure 1: Overview of all 50 unique images.</em> |
| </p> |
|
|
| ## Citation |
| If you utilize this dataset in your research, kindly provide a citation: |
| ``` |
| @inproceedings{potechius2023, |
| author = {Potechius, Herbert and Raja, Gunasekaran and Sikora, Thomas and Knorr, Sebastian}, |
| title = {A software test bed for sharing and evaluating color transfer algorithms for images and 3D objects}, |
| year = {2023}, |
| isbn = {9798400704260}, |
| publisher = {Association for Computing Machinery}, |
| address = {New York, NY, USA}, |
| url = {https://doi.org/10.1145/3626495.3626509}, |
| doi = {10.1145/3626495.3626509}, |
| booktitle = {Proceedings of the 20th ACM SIGGRAPH European Conference on Visual Media Production}, |
| articleno = {9}, |
| numpages = {10}, |
| location = {, London, United Kingdom, }, |
| series = {CVMP '23} , |
| keywords={mypublications} |
| } |
| ``` |
