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Using generative modelling techniques for generating synthetic data of skin diseases.

Non-profit project with the aim to use AI for Polish Sign Language.

We introduced the Annotated Germs for Automated Recognition (AGAR) dataset, an image database of microbial colonies cultured on agar plates. It contains 18000 photos of five different microorganisms as single or mixed cultures, taken under diverse lighting conditions with two different cameras.

The detect-waste team conducted comprehensive research on Artificial Intelligence usage in waste detection and classification to fight the world's waste pollution problem.

The detect-waste team conducted comprehensive research on Artificial Intelligence usage in waste detection and classification to fight the world's waste pollution problem.

Developing deep learning algorithms for speech enhancement, optical character recognition, and document segmentation.

Developing deep learning algorithms for speech enhancement, keyword spotting and gesture recognition.

Using detection models to localize and classify waste on images and video.

Business needs analysis, a feasibility study, and developing a system to generate a new logo based on images uploaded by the community using deep learning.

The aim of the project is to develop a method to automate the analysis of bacterial colonies on Petri dishes using artificial neural networks and Machine Learning algorithms.