Computer Software Engineer
VINTERN
Total years of experience :0 years, 3 Months
Food Classification using res-net VINTERN
• Using the machine learning algorithms like rest-net50 and yo-lo the food types were classified total 101 food classes were
given in the data-set and they are trained. The res-net50 is giving better accuracy compared to the yo-lo algorithm.
• Used different types of algorithms for getting the better accuracy .
• For every 15days there will be a review conducted by the VINTERN team and have to modify the changes accordingly.
I have done Medical Imaging Analysis project using machine learning and Deep Learning Techniques and also published 5 publications based on the project's I have done.
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