face-identification-transfer-learn
AI model using transfer learning to return numerical vectors that represent each face in images or video.
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Notes
Face Embedder
Purpose
This model outputs a 512-dim vector (embeddings) that represent the human face (facial features).
Architecture
This is a ResNet101 with Arcface loss with margin 0.2 and class weights to deal with class imbalance.
Intended Use
General purpose face embedding model.
Limitations
The model might not work very well on extreme pose / occlusion or blur.
Model Owner
Clarifai Research
Training/Test Data and Taxonomy
The model is trained on face_msceleb1m and finetuned with vggface2_traintest_with_clarifai_lmks_and_5_point_alignment.
Test data is LFW and Janus dataset for evaluation janus-c_identities
Model Evaluation Results
Accuracy on IJBC (1-1 eval): 0.924
Accuracy on LFW: 0.995
