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An academic project to find the most similar image to the given input image, based on Image Processing, Cosine Similarity Model, StreamLit, written primarily in Python using Visual Studio Code and Jupyter Notebook

Python 9.67% Jupyter Notebook 90.33%
cosine-distance cosine-similarity euclidean-algorithm euclidean-distances image-processing python streamlit web-app

reverseimagequerying's Introduction

Reverse Image Querying

link

Steps to Execute -

  1. Extract contents of data.zip to 'data/' folder
  2. Run the Jupyter Notebook to generate the pickle file
  3. Use the command streamlit run app.py
  4. Follow the Local URL to view the Web App
  5. Upload any image to the Web App to view the similar images from the dataset

Technologies used -

Python NumPy Pandas Streamlit Jupyter Visual Studio Code

Contributors -

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