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Preparing Dataset

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18 Dec 2020CPOL4 min read 5.5K   46  
In this article we’ll create the training dataset for our pest of choice: The moose.
Here we provide short explanation of the requirements for the dataset. Then we suggest approaches to collect the data: searching images on the Internet, searching video and upload frames from it. Then we provide references for some found videos. Then we explain the base steps of data collecting using available tools. Then we provide Python code for data preprocessing. Finally, we demonstrate the collected image examples.

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This article is part of the series 'Real-time AI Pest Elimination on Edge Devices View All

License

This article, along with any associated source code and files, is licensed under The Code Project Open License (CPOL)


Written By
Team Leader VIPAKS
Russian Federation Russian Federation
EDUCATION:

Master’s degree in Mechanics.

PhD degree in Mathematics and Physics.



PROFESSIONAL EXPERIENCE:

15 years’ experience in developing scientific programs
(C#, C++, Delphi, Java, Fortran).



SCIENTIFIC INTERESTS:

Mathematical modeling, symbolic computer algebra, numerical methods, 3D geometry modeling, artificial intelligence, differential equations, boundary value problems.

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