NOTE: this repository is no longer maintained; PRs and issues will probably be ignored. If you are interested in taking over development/maintainership of image-match, please contact me at the email address in my public profile. Thank you!

image-match

image-match is a simple (now Python 3!) package for finding approximate image matches from a
corpus. It is similar, for instance, to pHash, but
includes a database backend that easily scales to billions of images and
supports sustained high rates of image insertion: up to 10,000 images/s on our
cluster!

PLEASE NOTE: This algorithm is intended to find nearly duplicate images – think copyright
violation detection. It is NOT intended to find images that are conceptually similar.
For more explanation, see this issue or
this video.

Based on the paper An image signature for any kind of image, Wong et
al. There is an existing
reference implementation which
may be more suited to your needs.

The folks over at Pavlov have released an excellent
containerized version of image-match for
easy scaling and deployment.