Color-in-Context: A 12K-Image Dataset for Color Recognition Under Varied Illumination

We present Color-in-Context, a dataset of 12,086 photographs annotated along two complementary dimensions: color (Black, Blue, Gray, Orange, Pink, Purple, Skyblue, White, Yellow) and illumination (fluorescentLight, indoor, indoorNight, sunLight). The dataset is organized into 36 joint categories (9 colors × 4 illumination conditions) using a consistent folder hierarchy and normalized labels. We provide summary counts across colors, illuminations, and selected joint buckets, and an optional manifest file to support deterministic indexing and integrity checking. This Data Descriptor documents dataset construction, label normalization, duplicate screening, and file-integrity checks, and provides usage guidance for split generation and reporting under varied illumination.