CompreFace
Implement facial recognition seamlessly and easily
Be confident in your facial recognition with 99.83% accuracy on the LFW dataset
Easily create, control, and test your services from a user-friendly UI without extensive AI/ML skills
Cut costs by building on an open-source platform delivered in containers that can easily integrate into any container runtime platform
Overview
Easily integrate facial recognition into any system without prior machine learning skills with CompreFace — a free and open-source service.
CompreFace is delivered as a docker-compose config and supports different models that work on CPU and GPU. CompreFace can be applied to any field, such as security, advertising, marketing, attendance, VIP services, as well as hotel, conference, and airport check-in.
Features
- Face identification – identify a person in a collection of faces
- Face verification – determine if people are who they claim to be
- Landmark detection – detect the location of facial features within an image