Automated Seed Quality Testing System using GAN & Active Learning

A dataset of 26K corn seed images, classified into pure seeds and three other defective classes (broken, silkcut, and discolored).

Data and Resources

Cite this as

Sandeep Nagar, Prateek Pani, Raj Nair, Girish Varma (2024). Dataset: Automated Seed Quality Testing System using GAN & Active Learning. https://doi.org/10.57702/fmeu8xkj

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2110.00777
Author Sandeep Nagar
More Authors
Prateek Pani
Raj Nair
Girish Varma
Homepage https://arxiv.org/abs/2104.09443