Tamarind health assessment dataset: Images of shelled, unshelled, and mixed tamarind pods.

This data paper provides image dataset that includes 8432 high-quality images of [1] (tamarind), categorized into six types: Shelled Healthy Single, Shelled Healthy Multiple, Unshelled Healthy Single, Unshelled Healthy Multiple, Shelled Unhealthy Single, and Shelled Unhealthy Multiple. The collection is intended primarily to assist agricultural research as well as machine learning applications for identifying and evaluating quality. There are differences in brightness and orientation in each category in the collection, which showcases a wide variety of images taken under controlled conditions. For accurate Tamarindus indica quality assessment, this dataset offers a useful resource for training and assessing computer vision models and machine learning techniques. Application in agriculture could be possible, enabling rapid, localized quality evaluation, with potential for broader industry adoption when adapted to other crops. In order to improve plant quality assessment methods and contribute to the creation of trustworthy automated systems for Tamarindus indica quality evaluation, we invite researchers to investigate this dataset and use creative thinking.