DryBeans

The Koklu & Ozkan (2020) dry beans dataset produced by imaging a total of 13,611 grains from 7 varieties of dry beans. The original dataset (dry_beans.csv) contains 13,611 observations, but here we also include a random subsample of 1000 (minibeans.csv). See https://doi.org/10.24432/C50S4B for original complete dataset. The minibeans dataset is also available from the ggEDA R package (`ggEDA::minibeans`). If you use please cite the original publication: Koklu, M, and IA Ozkan. 2020. Multiclass Classification of Dry Beans Using Computer Vision and Machine Learning Techniques. Computers and Electronics in Agriculture, 174: 105507. doi: 10.1016/j.compag.2020.105507, https://doi.org/10.24432/C50S4B And also the UCI Machine Learning Repository where the dataset: Dry Bean [Dataset]. (2020). UCI Machine Learning Repository. https://doi.org/10.24432/C50S4B.