Benchmarking of MultiClass Classification models
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Updated
Dec 8, 2022 - Python
Benchmarking of MultiClass Classification models
Academic Machine Learning (6 months) Sessional Project
Automated classification of 7 different types of dry beans using machine learning techniques. This project leverages computer vision-extracted geometric and shape features (such as Area, Perimeter, and Shape Factors) to accurately identify bean varieties including Barbunya, Bombay, Cali, Dermason, Horoz, Seker, and Sira.
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