ArticleData in brief2023
Citrus dataset for image classification.
Article in Data in brief, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
3 citing papers in PubMed.
- Tamarind health assessment dataset: Images of shelled, unshelled, and mixed tamarind pods.Data in brief · 2025Article
- Facilitating spice recognition and classification: An image dataset of Indian spices.Data in brief · 2024Article
- Exploring the natural pothole dataset generated by the abrasion and cavitation effects of river water on rocks.Data in brief · 2024Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Citrus fruits are a specialty of the subtropical region and are currently the most widely cultivated and produced fruits in Taiwan. They contain a wealth of vitamins and minerals, including vitamin C, potassium, magnesium, and more, offering anti-inflammatory and antioxidant benefits. Citrus plants are among the economically significant fruits in Taiwan, and there are several citrus species that share a similar appearance. We have constructed a database containing the four most commonly purchased citrus varieties in the market. This database comprises a total of 1379 original images, which have been expanded to 7584 images using six different data augmentation methods. We have chosen three Convolutional Neural Network (CNN) models that have achieved an accuracy rate exceeding 95 % in classifying the four varieties of citrus fruits.
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