ripeness
Datasets
All datasets matching “ripeness”tomato_ripeness_detection
Tomato Ripeness Detection
A dataset for ripeness detection of tomatoes. The dataset contains 804 images with 9,777 bounding box annotations across 6 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
https://www.kaggle.com/datasets/nexuswho/laboro-tomato
fruit-ripeness-detection-dataset
Dataset Card for Fruit-Ripeness-Classification dataset
This is a collection of ripe and unripe fruits (mangoes and bananas) in outside lighting and outside conditions.
Train - 80% (4k images)
Test - 20% (1k images)
Dimensions of image : 640 x 480
The dataset has been collected from Mendeley data: https://data.mendeley.com/datasets/y3649cmgg6/3 (Mango and Banana Dataset (Ripe Unripe) : Indian RGB image datasets for YOLO object detection)
Initially the data was for training YOLO… See the full description on the dataset page: https://huggingface.co/datasets/darthraider/fruit-ripeness-detection-dataset.oil_palm_fruit_ripeness_classification
Oil Palm Fruit Ripeness Classification
A dataset for ripeness classification of palm fruit bunches. The dataset contains 466 images across 5 classes: Damaged, Empty, Overripe, Ripe, Unripe.Images per class:
Damaged: 15
Empty: 12
Overripe: 74
Ripe: 201
Unripe: 164
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{omar2024outdoor,
title={Outdoor oil palm fruit ripeness dataset},
author={Omar, Zaid… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/oil_palm_fruit_ripeness_classification.strawberry_avocado_ripeness_detection
Strawberry Avocado Ripeness Detection
This dataset provides real RGB images of strawberries and avocados captured in mixed agricultural environments across Maharashtra, India, over a 25-day collection period. Images were acquired using a handheld device equipped with a dual 12 MP camera, offering diverse field conditions for ripeness assessment tasks. The collection emphasizes practical, real-world scenarios to support robust object detection model development in agricultural… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/strawberry_avocado_ripeness_detection.Medjool_date_ripeness_detection
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
@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… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/Medjool_date_ripeness_detection.BananaImageBD_ripeness_classification
BananaImageBD Ripeness Classification
A dataset for ripeness classification of bananas. The dataset contains raw and augmented versions.The raw dataset contains 820 images.Images per class:
Green: 212
Overripe: 203
Ripe: 201
Semi-ripe: 204
The augmented dataset contains 2,457 images.Images per class:
Green: 636
Overripe: 609
Ripe: 603
Semi-ripe: 609
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation… See the full description on the dataset page: https://huggingface.co/datasets/Project-AgML/BananaImageBD_ripeness_classification.