NTUYWANG103/clip-image-search

This code implements a versatile image search engine leveraging the CLIP model and FAISS, capable of processing both text-to-image and image-to-image queries.

29
/ 100
Experimental

This tool helps you quickly find images that are visually similar to a specific picture or match a descriptive phrase. You input a picture or a text query, and it returns a collection of images from your dataset that best correspond. It's ideal for anyone who needs to search through large image collections efficiently, such as content managers, visual researchers, or e-commerce professionals.

No commits in the last 6 months.

Use this if you need to rapidly discover images within a large archive based on either an example image or a natural language description.

Not ideal if your primary need is to categorize images with predefined labels or perform object detection within images.

visual-search content-management digital-asset-management e-commerce-product-discovery
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 8 / 25
Community 13 / 25

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Stars

49

Forks

7

Language

Python

License

Last pushed

Jan 12, 2024

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/NTUYWANG103/clip-image-search"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.