Project: Animals Classification before and after applying traditional Feature Extractors (HOG, SIFT, ORB) using traditional Machine Learning Models

Overview

This repository showcases the implementation of Multiclass Classification, Animals Image Dataset problem using traditional Feature extractors like HOG, SIFT, ORB with tradtional Machine Learning Models like SVM, KNN, MLP

Some of the Implementation Points

• Applying Machine Learning models on raw iamge dataset without applying any feature extraction algorithm

• Applying ML models on features extracted from HOG Feature Extractor

• Applying ML models on features extracted from ORB Feature Extractor

• Applying ML models on features extracted from SIFT Feature Extractor