| --- |
| dataset_info: |
| features: |
| - name: image |
| dtype: image |
| - name: mask |
| dtype: image |
| - name: crop_type |
| dtype: string |
| splits: |
| - name: train |
| num_bytes: 98971137 |
| num_examples: 1969 |
| download_size: 84142287 |
| dataset_size: 98971137 |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data/train-* |
| license: cc-by-4.0 |
| task_categories: |
| - image-classification |
| - image-segmentation |
| size_categories: |
| - 1K<n<10K |
| --- |
| # 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.* |
