Aartificial intelligence, Computer Vision (CV), Data science techniques, Image processing, Keras software library, Machine learning techniques, Python Programming, PyTorch
As part of our Research and Development project, carried out in collaboration with the CReSTIC laboratory of the University of Reims and the Champagne Committee, you will work on the design of innovative solutions for dynamic classification. These solutions must be able to be integrated into a hierarchical approach to detecting vine diseases already in place.
The objective of this internship is to propose an innovative Continual Learning solution in order to be able to adapt a neural network to variable data . This solution must fit into an already trained neural network.
The approach envisaged for the internship is as follows:
Qualifications
Bac+5 training , with a specialization in Machine Learning / Artificial Intelligence / Computer Vision
You have knowledge of image processing and master the Python language, as well as Keras and PyTorch .
A first experience in Continual Learning would be a plus.
Autonomous, dynamic, rigorous and passionate, you are proactive, join our structure with the desire to express your talents!!!
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