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Image recognition and search at Adobe with Elasticsearch and Sensei

Blog post from Elastic

Post Details
Company
Date Published
Author
Darren Meiss
Word Count
602
Company Posts That Month
36
Language
-
Hacker News Points
-
Post removed?
No
Summary

Adobe utilizes Elasticsearch and its AI platform, Adobe Sensei, to power advanced image recognition and search capabilities across its products, particularly in Adobe Stock. By managing their own Elastic Stack deployment, Adobe hosts over 10 billion documents and supports a high ingestion rate, enhancing functionalities like face detection, object detection, and auto-tagging in real-time. Adobe has developed custom Elasticsearch plugins to improve image recognition and search ranking, enabling users to search for similar images based on attributes such as color and composition. The integration of convolutional neural networks allows for the creation of deep learned representations, enhancing the user experience in discovering and sorting through Adobe Stock's vast digital content library.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 1 1,659 640 46 +203%
Vector Search 1 178 43 7 +585%
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