GrapeSet for Yield Estimation

GrapeSet, a novel and publicly available dataset designed to evaluate the performance of computer vision algorithms in grape segmentation and yield estimation. GrapeSet was specifically developed to support the experimental validation of the proposed GCNet framework and is intended to address the limitations of existing datasets by offering a more comprehensive range of conditions, including multiple grape colors, varying levels of foliage, and detailed ground truth annotations.

If you use this dataset, please cite the following paper: