Image-based RGB and CIELAB colour analysis of 16 carrot varieties with pigment quantification via HPLC and spectrophotometry

This dataset supports a study on the use of image-based colorimetric analysis for predicting carotenoid and anthocyanin content in carrots. The CIELAB/Ch colour space, derived from digital images, offers a non-destructive and accessible method for pigment estimation. This dataset reports the RGB and CIELAB/Ch values found in 16 carrot varieties of different genotypic colour diversity (i.e., white, yellow, orange, red, purple). Samples were photographed under six light conditions (WF -1, WF 0, WF +1, PF 0, PF +1, PF +2), with colour calibration applied prior to analysing CIELAB/Ch parameters.
Pigment content was quantified using spectrophotometry (total carotenoids and anthocyanins) and high-performance liquid chromatography (individual carotenoids).