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face-clustering

AI model for grouping visually similar faces in images and video.

Notes

Face Clusterer

Purpose

This model outputs the closest cluster ids that face embeddings belong to.

Architecture

The cluster model has been trained using face embeddings using the LOPQ approach.

Intended Use

Cluster model for face embeddings.

Limitations

The model requires retraining in case the face embedding changes significantly or test data distribution changes.

Taxonomy

The model is trained on face_msceleb1m.

  • ID
  • Name
    face
  • Model Type ID
    Clusterer
  • Description
    AI model for grouping visually similar faces in images and video.
  • Last Updated
    Aug 24, 2022
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