ArticleData in brief2025
SpiceSpectrum: Class-balanced dataset of commercially valuable spice cultivars.
Article in Data in brief, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
5 authors.
Funding
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Abstract
This data paper introduces a comprehensive visual dataset of 11 globally significant spices, comprising 11,000 high-quality images curated to support research and applications in agriculture, trade, and culinary arts. The dataset features the following spices: Black Pepper, Cardamom, Cinnamon, Cloves, Coriander, Cumin, Ginger, Nutmeg, Paprika, Saffron, and Turmeric, selected for their economic importance, medicinal value, and widespread culinary use across global cuisines. Images were collected from Bangladesh, capturing diverse lighting conditions, backgrounds, natural textures, packaging styles, and multiple angles to reflect real-world scenarios. Stored in JPG format at a standardized 512 × 512 pixel resolution, the dataset is organized into dedicated folders with 1000 images per spice, ensuring consistency and ease of use. This resource is designed to facilitate machine learning and computer vision applications, such as spice recognition, classification, and quality assessment, as well as AI-driven tools for agricultural analysis and trade monitoring. By providing a robust and diverse visual dataset, this collection aims to advance research and to assist innovation in the global spice industry.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.