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---
dataset_info:
- config_name: augmented
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Immature
'1': Mature
splits:
- name: train
num_bytes: 4039039098
num_examples: 4000
download_size: 2260274666
dataset_size: 4039039098
- config_name: raw
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': Immature
'1': Mature
splits:
- name: train
num_bytes: 144554160
num_examples: 1000
download_size: 144583939
dataset_size: 144554160
configs:
- config_name: augmented
data_files:
- split: train
path: augmented/train-*
- config_name: raw
data_files:
- split: train
path: raw/train-*
default: true
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Tomato Maturity Classification
A dataset for maturity classification of tomatoes. The dataset contains raw and augmented versions.
The raw dataset contains 1,000 images.
Images per class:
- Immature: 500
- Mature: 500
The augmented dataset contains 4,000 images.
Images per class:
- Immature: 2,000
- Mature: 2,000
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{khatun2023extensive,
title={An extensive real-world in field tomato image dataset involving maturity classification and recognition of fresh and defect tomatoes},
author={Khatun, Tania and Razzak, Abdur and Islam, Md Shofiul and Uddin, Mohammad Shorif},
journal={Data in Brief},
volume={51},
pages={109688},
year={2023},
publisher={Elsevier}
}
```
Khatun, Tania; Razzak, Abdur ; Islam, Md. Shofiul ; Uddin, Prof. Dr. Mohammad Shorif (2023), “Tomato Maturity Detection and Quality Grading Dataset”, Mendeley Data, V1, doi: 10.17632/s42kpg8h37.1
*This dataset was reformatted from its original format to match HuggingFace standards.*