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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

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TejasSheth104/ReverseImageQuerying

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Reverse Image Querying

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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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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

Topics

python web-app image-processing cosine-similarity cosine-distance euclidean-distances euclidean-algorithm streamlit

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