gofynd/mildnet
Visual Similarity research at Fynd. Contains code to reproduce 2 of our research papers.
This project helps e-commerce platforms automatically find and recommend visually similar products. You input a catalog of product images, and the system learns to extract key visual features, allowing it to identify and output other products that look alike. E-commerce managers or merchandising teams can use this to enhance product discovery and customer engagement on their platforms.
No commits in the last 6 months.
Use this if you need to build or experiment with advanced image recognition models for visual product recommendations in e-commerce.
Not ideal if you are looking for a ready-to-use, off-the-shelf product recommendation system without any model training or development.
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Jupyter Notebook
License
Apache-2.0
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Last pushed
Mar 24, 2023
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