Project-AgML/fruitseg30_segmentation

FruitSeg30 Segmentation A dataset for semantic segmentation of common types of fruit in a lab environment. The dataset contains 1,969 images with pixel-level mask annotations. This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library. Citation @article{shamrat2024fruitseg30_segmentation, title={FruitSeg30\_Segmentation dataset \& mask annotations: A novel dataset for diverse fruit segmentation and classification}… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/fruitseg30_segmentation.