# Image-classification

**Repository Path**: lea-chen/Image-classification

## Basic Information

- **Project Name**: Image-classification
- **Description**: Image Classification using SIFT, Bag of words, k means clustering and SVM Classification
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 1
- **Forks**: 0
- **Created**: 2020-07-01
- **Last Updated**: 2021-11-02

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

Image Classification performed on Caltech 256 dataset: http://www.vision.caltech.edu/Image_Datasets/Caltech256/ 
30607 Images

Techniques Used:
1)	Scale-invariant feature transform (SIFT)
2)	Bag of Visual words
3)	K Means Clustering
4)	SVM Classification

Usage
To run the main program run `python main.py`

Dependencies
Used with OpenCV 3 and Python 3.5. Python libraries required are scipy, numpy and matplotlib.