Datasets:
File size: 1,480 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: objects
struct:
- name: bbox
list:
list: float64
- name: categories
list:
class_label:
names:
'0': Ripe_DateFruit
'1': Unripe_DateFruit
splits:
- name: train
num_bytes: 4326261690
num_examples: 1415
download_size: 5010660138
dataset_size: 4326261690
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- object-detection
size_categories:
- 1K<n<10K
---
# Medjool Date Ripeness Detection
A dataset for detection of Medjool Date ripeness. The dataset contains 1,415 images with 58,348 bounding box annotations across 2 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{perez2021dataset,
title={Dataset for localization and classification of Medjool dates in digital images},
author={P{\'e}rez-P{\'e}rez, Dalila Blanca and Salom{\'o}n-Torres, Ricardo and Garc{\'\i}a-V{\'a}zquez, Juan Pablo},
journal={Data in Brief},
volume={36},
pages={107116},
year={2021},
publisher={Elsevier}
}
```
García Vázquez , Juan Pablo; Pérez Pérez, Dalila Blanca; Salomón Torres, Ricardo (2021), “MedjoolDates_Dataset”, Mendeley Data, V2, doi: 10.17632/872xk9npmz.2
*This dataset was reformatted from its original format to match HuggingFace standards.* |