Sapota Fruit Datasets

Published: 11 July 2025| Version 2 | DOI: 10.17632/jgtb95x6kf.2
Contributors:
Anita Bhatt,

Description

These datasets support research in quality control, classification, and visual recognition of Sapota fruit. Dataset-1 and Dataset-2 consist of images of Sapota fruit, categorized based on their visual and physical characteristics. The images are classified into two groups: spoiled fruit and fresh fruit, with the fresh fruit further sorted according to size—small, medium, and large. Dataset-1 contains images sized 224x224 pixels with a fixed white background. Dataset-2 includes images at their original size of 4000x3000 pixels, with the background removed and annotations saved in a text file. Physical parameters for the original dataset are saved in Excel files, which eventually make Dataset-1 and Dataset-2. The Dataset-3 includes images captured under various backgrounds, showcasing different sizes of Sapota fruit. Overall, this dataset aims to facilitate research in quality control, classification, and visual recognition of Sapota fruit. Dataset-1 includes images sized 224x224 pixels with a fixed white background, while Dataset-2 features images at their original size of 4000x3000 pixels, with the background removed and annotations saved in a text file. Dataset-3 contains images captured under various backgrounds, showcasing different sizes of Sapota fruit. Overall, these datasets are designed to support research on Sapota fruit quality.

Files

Institutions

Gujarat Technological University

Categories

Computer Vision, Machine Learning, Agriculture

Licence