Datasets:
File size: 1,425 Bytes
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dataset_info:
features:
- name: image
dtype: image
- name: label
dtype:
class_label:
names:
'0': green
'1': mature-green
'2': ripe
- name: variety
dtype: string
splits:
- name: train
num_bytes: 372990830
num_examples: 2309
download_size: 393008275
dataset_size: 372990830
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-4.0
task_categories:
- image-classification
size_categories:
- 1K<n<10K
---
# Guava Maturity Classification
A dataset for maturity classification of three varieties of guava. The dataset contains 2,309 images across 3 classes: green, mature-green, ripe.
Images per class:
- green: 232
- mature-green: 829
- ripe: 1,248
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
## Citation
```bibtex
@article{maitlo2023novel,
title={A novel dataset of guava fruit for grading and classification},
author={Maitlo, Abdul Khalique and Aziz, Abdul and Raza, Hassnian and Abbas, Neelam},
journal={Data in Brief},
volume={49},
pages={109462},
year={2023}
}
```
Maitlo, Abdul Khalique; Aziz, Abdul; Raza, Hassnain ; Abbas, Neelam (2023), “Guava Fruit Dataset for Classification ”, Mendeley Data, V1, doi: 10.17632/w3fg8jjmzr.1
*This dataset was reformatted from its original format to match HuggingFace standards.* |