SeasVeg: An Image Dataset of Bangladeshi Seasonal Vegetables

Published: 8 September 2023| Version 1 | DOI: 10.17632/s6gyxb2cg9.1


This dataset introduces a newly developed dataset named "SeasVeg," which includes Ten different types of seasonal vegetables from various regions in Pabna and Dhaka, Bangladesh. The ten different categories are Carica Papaya, Momordica dioica, Abelmoschus esculentus, Lablab purpureus, Trichosanthes cucumerina, Trichosanthes dioica, Solanum Iycopersicum, Brassica oleracea, Momordica charantia, Raphanus sativus. The dataset contains a total of 1,500 original images, along with an additional 3000 augmented images. We meticulously captured each original image under natural lighting conditions with an appropriate background. This comprehensive dataset holds immense potential for researchers in utilizing various ML and DL methods to advance the healthcare sector significantly. It is a valuable resource for future investigations, laying the foundation for crucial developments in these domains.



Uttara University


Agricultural Science, Crop Science, Computer Vision, Machine Learning, Image Classification, Deep Learning