Development of a web system for recognizing the images taken by UAV

The paper focuses on development of a web system for recognizing the images taken by UAV. According to the concept, the development for such system includes three main steps: development of machine learning model, web system development and deployment. First step was taken from open-source ML model “EfficientNetB0”. Web system developed using the Python library “Streamlit”. For the last step deployment service “Heroku” was chosen. Basic requirements for the functionality, architecture and user interface of the web system developed in this project were formed.