Project: Photo tagger

This project was completed during the Lviv Data Science Summer School 2016. The project supervisor – Oleksandr Baiev.

The project goal was to create core for photo autotagging application. The system should describe input image by several tags which represent objects on the image. Students developed a model based on convolution neural networks, implement an application for image or video grouping/searching and deploy it as standalone or mobile software.

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