"SeedCount" dataset is a valuable resource for those interested in seed counting and machine learning applications. Its user-friendly labeling system, precise ground truth labels, and adherence to quality standards ensure that it can be readily understood and effectively utilized by researchers, developers, and enthusiasts alike. This initiative is proudly undertaken by the Society of Humanity Education and Research, reflecting its commitment to advancing knowledge and technology for the betterment of society.

Link: https://www.kaggle.com/datasets/raj123verma/seeds-counting

Regards,

Society of Humanity Education and Research Team

"Dedicated to solve real life problems"

https://managelibs.com/