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:葡萄数据集（GrapeSet）是一款新颖且公开可用的数据集，旨在评估计算机视觉算法在葡萄分割与产量估算任务中的性能。该数据集专为支撑所提出的GCNet框架的实验验证而开发，旨在通过覆盖更全面的场景条件来弥补现有数据集的局限性，这些条件涵盖多种葡萄颜色、不同程度的枝叶覆盖情况，以及详尽的真值标注（ground truth annotations）。 若使用该数据集，请引用以下论文：