christiansafka/img2vec
:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image
This tool helps you analyze images by converting them into numerical descriptions, called vector embeddings. You input an image or a collection of images, and it outputs a list of numbers that capture the image's key visual characteristics. This is ideal for data scientists, machine learning engineers, or researchers working with image datasets who need to quantify visual information.
622 stars. No commits in the last 6 months.
Use this if you need to transform images into numerical data for tasks like grouping similar images, building recommendation engines, or training classification models.
Not ideal if you need a user-friendly application with a graphical interface, as this requires coding knowledge to operate.
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622
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98
Language
Python
License
MIT
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Last pushed
May 13, 2025
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