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license: mit
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# Image Similarity Comparison Web Application
This project is a web-based application that allows users to upload images and compare them to find the most visually similar ones based on a user-defined similarity threshold. The application utilizes a pre-trained VGG16 model to extract features from images and measures similarity using cosine similarity.
## Features
- Upload an input image and a set of comparison images.
- Define a similarity threshold to control the sensitivity of the comparison.
- Automatically identify and display the most similar images.
- Option to retry with different images or threshold settings.
- User-friendly interface with an impressive, creative design.
## Technologies Used
- **Backend:** Python, Flask, TensorFlow, VGG16, scikit-learn
- **Frontend:** HTML, CSS, Bootstrap
- **Image Processing:** PIL, NumPy
## Usage
- **Upload Images:** On the homepage, upload your primary image and a set of comparison images.
- **Set Similarity Threshold:** Input the similarity threshold value at the start.
- **View Results:** The application will process the images and display the ones that are most similar to the primary image.
- **Try Again:** After viewing the results, you have the option to try with different images.
## Practical Applications
- **E-commerce:** Helps in recommending visually similar products to users.
- **Digital Asset Management:** Assists in organizing and finding similar visual content from a large collection.
- **Creative Industry:** Useful for artists and designers to find similar visual references.
## WebApp
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