Comprehensive dataset on ripening stages of strawberries and avocados: From unripe to rotten

This paper presents a novel and innovative 14,630 fruit images dataset, consisting of 1333 original images and the remaining augmented images for strawberry and avocado fruits. The dataset records the growth of strawberries and avocados in four different stages: unripe, partially ripe, ripe, and rotten. Though the fruit ripening process is commonly known, a lack of systematic datasets to show the fruit changing from an unripe state to a rotting state was prevalent for the two fruits in question. Over two months, the dataset was collected through rigorous tracking to effectively provide a measure of each of the fruits' conditions. The fruits were obtained from Mahabaleshwar farms in Maharashtra, India, as well as from local markets in Maharashtra and Pune. The fruits were monitored continuously from the time of harvesting, and all observed changes were carefully recorded. The uniqueness of this dataset is that it covers both strawberries and avocados, which have different patterns of ripening and are highly commercially valuable. The images were annotated using the online annotation tool - makesense.ai, with a total of 1499 bounding boxes for each fruit. By encompassing these two diverse fruit types, the dataset provides a valuable resource for researchers, agriculturalists, and food scientists to investigate and compare the ripening behaviours of different fruit species.

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Publication Details

Journal
Data in Brief
Published
2025-05-14
DOI
https://doi.org/10.1016/j.dib.2025.111663
Citations
1
Primary Topic
Berry genetics and cultivation research
Type
article
Field-Weighted Citation Impact
1.75

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article

Comprehensive dataset on ripening stages of strawberries and avocados: From unripe to rotten

Abdullah Alamri, Biswajeet Pradhan, Shilpa Gite, Pooja Kamat et al.
1 citations
Data in Brief
Berry genetics and cultivation research
1.75
article

Comprehensive dataset on ripening stages of strawberries and avocados: From unripe to rotten

Abdullah Alamri, Biswajeet Pradhan, Shilpa Gite, Pooja Kamat, Harsh Chandekar, Lisanne Dlima
article en
1 citations

Abstract

This paper presents a novel and innovative 14,630 fruit images dataset, consisting of 1333 original images and the remaining augmented images for strawberry and avocado fruits. The dataset records the growth of strawberries and avocados in four different stages: unripe, partially ripe, ripe, and rotten. Though the fruit ripening process is commonly known, a lack of systematic datasets to show the fruit changing from an unripe state to a rotting state was prevalent for the two fruits in question. Over two months, the dataset was collected through rigorous tracking to effectively provide a measure of each of the fruits' conditions. The fruits were obtained from Mahabaleshwar farms in Maharashtra, India, as well as from local markets in Maharashtra and Pune. The fruits were monitored continuously from the time of harvesting, and all observed changes were carefully recorded. The uniqueness of this dataset is that it covers both strawberries and avocados, which have different patterns of ripening and are highly commercially valuable. The images were annotated using the online annotation tool - makesense.ai, with a total of 1499 bounding boxes for each fruit. By encompassing these two diverse fruit types, the dataset provides a valuable resource for researchers, agriculturalists, and food scientists to investigate and compare the ripening behaviours of different fruit species.

Data in BriefVol. 60
University of Technology Sydney (AU), Lupin Pharmaceuticals (India) (IN), Symbiosis International University (IN), King Saud University (SA)
University of Technology Sydney, Centre for Advanced Modelling and Geospatial lnformation Systems, University of Technology Sydney, Faculty of Engineering and Information Technology, University of Technology Sydney
Zero hunger
Openalex Percentile: Top 15%
Berry genetics and cultivation research
1.75
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