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LFW Face Recognition — Aligned Faces, Embeddings & Test Predictions

Companion data for Khalyie/lfw-face-recognition.

Files

  • aligned_faces.pt — MTCNN-aligned 160x160 uint8 face tensors for all 5749+ identities / ~13k images, indexed to match metadata.json's identity/label arrays
  • alignment_fallback_indices.json — indices where MTCNN failed to detect a face and a center-crop fallback was used
  • metadata.json — identity list + train/val/test index splits
  • train/val/test_embeddings.npy, *_labels.npy, *_indices.npy — 512-dim L2-normalized embeddings per split, with original dataset indices preserved
  • test_predictions.csv — per-image predictions from the test set: true identity, predicted identity, similarity score, correct/incorrect, top-3 candidates
  • test_predictions_sample.png — visual grid of sample predictions

Reload embeddings/labels with numpy.load(...), and metadata.json's train_indices / val_indices / test_indices to know which original LFW image each row corresponds to.

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