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End of preview. Expand in Data Studio
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 settings. The dataset contains 758 images with 924 bounding box annotations across 8 categories.
This dataset is indexed on https://project-agml.github.io/ as part of the AgML python library.
Citation
@article{kamat2025comprehensive,
title={Comprehensive dataset on ripening stages of strawberries and avocados: From unripe to rotten},
author={Kamat, Pooja and Chandekar, Harsh and Dlima, Lisanne and Gite, Shilpa and Pradhan, Biswajeet and Alamri, Abdullah},
journal={Data in Brief},
volume={60},
pages={111663},
year={2025},
publisher={Elsevier}
}
This dataset was reformatted from its original format to match HuggingFace standards.
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