ArticleData in brief2024
A dataset revolutionizing Indian bay leaf analysis.
Article in Data in brief, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- PlantCity: A comprehensive image based on multi crop leaves in Pakistan.Data in brief · 2025Article
- PriBeL: A primary betel leaf dataset from field and controlled environment.Data in brief · 2025Article
- Sign language detection dataset: A resource for AI-based recognition systems.Data in brief · 2025Article
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Authors and funding
10 authors.
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Abstract
Indian bay leaf is a crucial spice in Indian cuisine. However, its quality and authenticity are often compromised. To address this, we introduce The Digital Indian Bay leaf dataset, a comprehensive collection of high-resolution 5696 images capturing diverse bay leaf samples under controlled conditions. The dataset encompasses variations in leaf conditions such as fresh leaf, dried leaf and diseased prone leaf. The dataset is meticulously curated to support research in condition analysis and machine learning applications for leaf quality assessment. To ensure data diversity, each category includes a wide range of images captured under controlled conditions with varying lighting, background, and leaf orientation. By providing a standardized and accessible resource, this dataset aims to accelerate research in this domain and contribute to the improvement of the Indian spice industry.
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