A balanced dataset of color names and RGB values for training classifiers. This data can be used to reproduce the results of our work in Color inference from semantic labeling for person search in videos.
Dropbox link
This dataset is built using the data gathered by Randall Munroe through his color survey.
An additional processing is applied to obtain the dataset:
- Filtering outliers and labels with less than 2000 occurences
- Balancing the samples using SMOTE [1]
[1] - Chawla, N. V. et al. “SMOTE: Synthetic Minority Over-Sampling Technique.” Journal of Artificial Intelligence Research 16 (2002): 321–357. Crossref. Web.