SadaColorDataset (SCD): 9 Paper Colors × 4 Illumination Conditions for Robust Color Vision Evaluation

SadaColorDataset (SCD) is a publicly available image dataset designed to support research on robust color recognition and illumination-related color variation in real mobile captures. The dataset contains 10,843 photographs of nine physical color papers (Black, Blue, Gray, Orange, Pink, Purple, Sky Blue, White, and Yellow) recorded under four everyday lighting conditions: Fluorescent, Indoor, Indoor Night, and Sunlight. All images were captured using an Infinix NOTE 40 smartphone camera (108 MP) with a simple, repeatable setup intended to reflect practical conditions rather than laboratory calibration. For each color–illumination setting, multiple images were collected to cover natural variability due to exposure, white balance, shadows, and reflections. During acquisition, the paper was placed on a ground surface and the phone was mounted on a tripod; the viewpoint was varied by moving the tripod to different positions and orientations. However, because explicit angle labels were not recorded or reliably recoverable from the released file structure/metadata, SCD does not provide calibrated or discrete “angle IDs,” and it should be treated as a dataset with unlabeled viewpoint variation. Along with the images, we release machine-readable metadata and summary files that describe image counts across colors and illuminations and provide basic color statistics (e.g., RGB/CIELAB-derived measures) to facilitate reproducible analysis. SCD is distributed under a public license and is intended for benchmarking illumination robustness, dataset shift, and color stability in mobile vision pipelines.