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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.

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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

bibtex

@article{shamrat2024fruitseg30_segmentation,
  title={FruitSeg30\_Segmentation dataset \& mask annotations: A novel dataset for diverse fruit segmentation and classification},
  author={Shamrat, FM Javed Mehedi and Shakil, Rashiduzzaman and Idris, Mohd Yamani Idna and Akter, Bonna and Zhou, Xujuan},
  journal={Data in Brief},
  volume={56},
  pages={110821},
  year={2024},
  publisher={Elsevier}
}

Shamrat, F M Javed Mehedi; Shakil, Rashiduzzaman ; Idris, Mohd Yamani Idna ; Akter, Bonna; Zhou, Xujuan (2024), “FruitSeg30_Segmentation Dataset & Mask Annotations”, Mendeley Data, V3, doi: 10.17632/vkht8pfsp3.3

This dataset was reformatted from its original format to match HuggingFace standards.