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FM100P (Farnsworth-Munsell 100 hue test palette) Dataset

Dynamic Closest Color Warping to Sort and Compare Palettes
Suzi Kim and Sunghee Choi
Geometric Computing Lab., School of Computing, KAIST
Presented at ACM SIGGRAPH 2021

1. Description

  • FM100P is a dataset to evaluate the single palette sorting.

2. Structure

2-1. Tree

/FM100P-k%d
├──/FM100P-k%d-csv : This includes test palettes in format of csv.
│   ├── FM100P-k%d-p0.csv
│   ├── FM100P-k%d-p1.csv
│   ├── ...
│   └── FM100P-k%d-p99.csv
├──/FM100P-k%d-image : This includes test palettes' images.
│   ├── FM100P-k%d-p0.png 		 : 1st palette's image in shuffled order
│   ├── FM100P-k%d-p0-sorted.png : 1st palette's image in correctly sorted order
│   ├── ...
│   ├── FM100P-k%d-p99.png
│   └── FM100P-k%d-p99-sorted.png
└──/FM100P-k%d-image-wbox : This includes test palettes' images with white boundary between adjacent colors.
	├── FM100P-k%d-p0.png 		 : 1st palette's image in shuffled order with white boundary between adjacent colors
	├── FM100P-k%d-p0-sorted.png : 1st palette's image in sorted order with white boundary between adjacent colors
	├── ...
	├── FM100P-k%d-p99.png
	└── FM100P-k%d-p99-sorted.png
  • k indicates the length of palette with a range from 10 to 40.

2-2. Structure of the CSV file

  • The name of each file follows FM100P-k%d-p%d.csv.

    parameter description
    k length of palette
    p palette's no.

  • Each CSV file presents a single test palette, and the order is shuffled.

  • Structure of each row:

    • {color's original index in the Farnsworth-Munsell 100 hue test palette} {hex color}

3. Publication

Our paper is available at ACM Digital Library. Please cite with the following Bibtex code:

@article{kim2021dynamic,
    title = {Dynamic Closest Color Warping to Sort and Compare Palettes},
    author = {Kim, Suzi and Choi, Sunghee},
    year = {2021},
    journal = {ACM Transactions on Graphics (Proceedings SIGGRAPH)},
    volume = {40},
    number = {4},
    articleno = {95},
    address = {New York, NY, USA},
    doi = {10.1145/3450626.3459776},
}

4. Acknowledgements

This work was supported by Institute of Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government(MSIT) (No.2019-0-01158, Development of a Framework for 3D Geometric Model Processing)