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