Project-AgML/Strawberry-DS_strawberry_detection

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.

More information about the collection of the data can be found at https://www.sciencedirect.com/science/article/pii/S2352340923002846.

This dataset is indexed as part of the AgML library, and similar datasets can be found at https://project-agml.github.io

Citation

El-Bendary, Nashwa; Elhariri, Esraa (2022), “Strawberry-DS”, Mendeley Data, V1, doi: 10.17632/z6dtfdpzz8.1

and

@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}}
}