Image Classification – Data Science & Machine Learning Project

Image Classification for Sports Athletes – Data Science & Machine Learning Project
Using OpenCV and Haar Cascades to detect faces and eyes in images is a great approach for preparing your dataset for training a classifier. The majority of the data cleaning can be automated, while some images will still require manual review to ensure quality.

Technologies used in this project,
Python
Numpy and OpenCV for data cleaning
Matplotlib & Seaborn for data visualization
Sklearn for model building
Jupyter notebook, visual studio code and pycharm as IDE
Python flask for http server
HTML/CSS/Javascript for UI