aws-samples/amazon-sagemaker-clip-search
Build a machine learning (ML) powered search engine prototype to retrieve and recommend products based on text or image queries
This project helps e-commerce and retail businesses build an intelligent search engine that understands both text and images. You provide your product images and descriptions, and the system generates a search catalog. Your customers can then find products by typing free-form text or uploading a picture, moving beyond simple keyword matching.
No commits in the last 6 months.
Use this if you need to create a product search and recommendation system that allows users to find items using either text descriptions or image uploads, leveraging semantic understanding rather than just keywords.
Not ideal if your primary need is a simple keyword-based search or if you do not have image data for your products.
Stars
42
Forks
6
Language
Jupyter Notebook
License
MIT-0
Category
Last pushed
Feb 15, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/aws-samples/amazon-sagemaker-clip-search"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
johanmodin/clifs
Contrastive Language-Image Forensic Search allows free text searching through videos using...
kingyiusuen/clip-image-search
Search images with a text or image query, using Open AI's pretrained CLIP model.
NTUYWANG103/clip-image-search
This code implements a versatile image search engine leveraging the CLIP model and FAISS,...
ItzCrazyKns/Image-Search
Search for similar images using faiss & multimodal embeddings