MelonNightColor: a multi-color artificial illumination image dataset for nighttime greenhouse melon segmentation

This dataset contains 782 sets (5474 images) of annotated nighttime melon images and 1218 sets (8526 images) of unlabeled images. During the acquisition process, the camera position and scene were kept relatively stable, and only the artificial lighting RGB components were changed to form 7 real light source color images, including red, blue, green, cyan, purple, yellow, and white.

The dataset provides pixel level semantic segmentation annotations, including three categories: melon fruit, melon stem, and background. The dataset is organized in two ways: single color and combination color, with a total of 11 sub datasets: 7 single color datasets—— data_red、data_blue、data_green、data_cyan、data_purple、data_yellow、data_white， Each contains 782 images; Four combined color datasets - data-red_blue, data-red_green, data_green-blue - each contain 1564 images, and data-red_green-blue contains 2346 images.