Dataset of cannabis seeds for machine learning applications

The recent changes in policies in several countries regard-ing cannabis use has increased cannabis usage and research [1 , 2] . Cannabis is the second most used psychoactive sub-stance word-wide [3] . Cannabis remains the subject of many research works. The cannabis can be classified into different classes according to their external features like colour, shape, and size using some computer vision and machine learn-ing techniques. Precise classification or recognition is the un-met need of the agriculture business. This attracts many re-searchers to produce solutions with machine learning and deep learning techniques. Neat and clean dataset is the pri-mary requirements to build accurate and robust machine learning model and minimize misclassification for the real-time environment. To achieve this objective, we have cre-ated an image dataset of cannabis seed. Accordingly, we have considered seventeen cannabis seeds to create dataset. The dataset contains 17 subfolders of cannabis seeds and folder is named with the category of seed. We strongly believe the cannabis seeds dataset will be very helpful for training, test-ing, and validation of cannabis classification or recognition with machine learning models.(c) 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license ( http://creativecommons.org/licenses/by/4.0/ )