| --- |
| license: cc-by-4.0 |
| task_categories: |
| - object-detection |
| size_categories: |
| - n<1K |
| --- |
| |
| # Strawberry-DS |
|
|
| A collection of 247 jpg images for strawberry detection. Annotations are in COCO format with 6 classes: (0) Green, (1) White, (2) Early-Turning, (3) Turning, (4) Late-Turning, and (5) Red. |
| Data was sourced from https://data.mendeley.com/datasets/z6dtfdpzz8/1 and preprocessed into the ImageFolder format. |
|
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| More information about the collection of the data can be found at https://www.sciencedirect.com/science/article/pii/S2352340923002846. |
|
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|
|
| ## Citation |
| El-Bendary, Nashwa; Elhariri, Esraa (2022), “Strawberry-DS”, Mendeley Data, V1, doi: 10.17632/z6dtfdpzz8.1 |
|
|
| and |
|
|
| ```bibtex |
| @article{ELHARIRI2023109165, |
| title = {Strawberry-DS: Dataset of annotated strawberry fruits images with various developmental stages}, |
| journal = {Data in Brief}, |
| volume = {48}, |
| pages = {109165}, |
| year = {2023}, |
| issn = {2352-3409}, |
| doi = {https://doi.org/10.1016/j.dib.2023.109165}, |
| url = {https://www.sciencedirect.com/science/article/pii/S2352340923002846}, |
| author = {Esraa Elhariri and Nashwa El-Bendary and Samir {Mahmoud Saleh}} |
| } |
| ``` |
