Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2023 Feb 7:47:108954.
doi: 10.1016/j.dib.2023.108954. eCollection 2023 Apr.

Dataset of cannabis seeds for machine learning applications

Affiliations

Dataset of cannabis seeds for machine learning applications

Prawit Chumchu et al. Data Brief. .

Abstract

The recent changes in policies in several countries regarding cannabis use has increased cannabis usage and research [1,2]. Cannabis is the second most used psychoactive substance 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 learning techniques. Precise classification or recognition is the unmet need of the agriculture business. This attracts many researchers to produce solutions with machine learning and deep learning techniques. Neat and clean dataset is the primary requirements to build accurate and robust machine learning model and minimize misclassification for the real-time environment. To achieve this objective, we have created 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, testing, and validation of cannabis classification or recognition with machine learning models.

Keywords: Cannabis detection; Cannabis seed image dataset; Computer vision; Deep learning; Machine learning; Seeds classification.

PubMed Disclaimer

Conflict of interest statement

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Figures

Fig 1
Fig. 1
Cannabis seeds images for various categories
Fig 1
Fig. 1
Cannabis seeds images for various categories
Fig 1
Fig. 1
Cannabis seeds images for various categories
Fig 1
Fig. 1
Cannabis seeds images for various categories
Fig 2
Fig. 2
Canabis seed data acquisition Process

References

    1. Peacock A., Leung J., Larney S., Colledge S., Hickman M., Rehm J., et al. Global statistics on alcohol, tobacco and illicit drug use: 2017 status report. Addiction. 2018;113:1905–1926. doi: 10.1111/add.14234. - DOI - PubMed
    1. United Nations Office on Drugs and Crime . 2019. World Drug Report. 2019.
    1. Bahji A., Stephenson C. International perspectives on the implications of cannabis legalization: a systematic review & thematic analysis. Int. J. Environ. Res. Public Health. 2019;16 doi: 10.3390/ijerph16173095. - DOI - PMC - PubMed
    1. Anwar F., Latif S., Ashraf M. Analytical characterization of hemp (cannabis sativa) seed oil from different agro-ecological zones of Pakistan. J. Am. Oil. Chem. Soc. 2006;83:323–329.
    1. Meshram V.A., Patil K. FruitNet: Indian fruits image dataset with quality for machine learning applications. Data Br. 2022;40 doi: 10.1016/j.dib.2021.107686. - DOI - PMC - PubMed

LinkOut - more resources