face-identification-transfer-learn
AI model using transfer learning to return numerical vectors that represent each face in images or video.
fc3b8814fbe54533a3d80a1896dc9884
fc3b8814fbe54533a3d80a1896dc9884
eff1433c9a924884afff7a7cdcba650c
Model base cost: $0.0032 / request
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
- ID
- Model Type IDVisual Embedder
- Input Typeimage
- Output Typeembeddings
- DescriptionAI model using transfer learning to return numerical vectors that represent each face in images or video.
- Last UpdatedOct 25, 2024
- PrivacyPUBLIC
- Toolkit
Clarifai - License
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