Potato Slice Image Dataset
Published: 11 February 2025| Version 1 | DOI: 10.17632/txgckh95rh.1
Contributors:
, , , , Description
Potato Slice Image Dataset is a collection of high-quality images of potato slices, categorized into healthy and defected slices. Each category is stored in a separate folder. Each category has two subfolders consisting of single and bulk images of potato slices. Images are Captured using mobile phones for real-world authenticity. Ideal for Machine Learning, Food Science, Food Quality and Agricultural Research. This dataset can be used for training AI models to recognize, classify, and detect defects in potato slices based on appearance. It can also aid in developing automated quality assessment systems for food processing and agricultural industries.
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Institutions
Symbiosis International University Symbiosis Institute of Technology
Categories
Machine Learning, Food Quality Assessment, Food Quality Management, Deep Learning, Agriculture