harizjet / ImageClassificationML-DL

Comparison of Machine Learning and Deep Learning on image classification

Comparison between Machine Learning and Deep Learning on Image Classification

Compare the accuracy of the tools and the feature extraction algorithm in Machine learning

Project Description

Language and tools used:

1. Python (Sci-kit Learn)
2. Matlab

Feature Extraction Algorithm used in Machine Learning:

1. SURF
2. Harris Corner
3. Local Binary Patter
4. Histogram of Gradient

Classifiers used in Machine Learning:

1. Naive Bayes
2. Support Vector Machine
3. Random Forest
4. Neural-Network
5. K-Nearest Neighbors

CNN models used in Deep Learning:

1. AlexNet
2. GoogleNet
3. ResNet18
4. My own model