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TinyFaceNet-1M

Image Feature Extraction
PyTorch
ONNX
tinyfacenet
face-recognition
face-embedding
knowledge-distillation
mobilefacenet
arcface
int8
edge
raspberry-pi
tinyml
Model card Files
xet
 Community
TinyFaceNet-1M
File size: 3,005 Bytes
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{
 "ckpt": "tinyfacenet_v2.pt",
 "tag": "v2",
 "names": [
  "PERSON_A",
  "PERSON_B",
  "PERSON_C",
  "PERSON_D",
  "PERSON_E",
  "other",
  "PERSON_F",
  "PERSON_G",
  "PERSON_H",
  "PERSON_I"
 ],
 "n_test": 59,
 "n_test_family": 49,
 "n_agree": 1500,
 "thr": 0.45,
 "results": {
  "fp32": {
   "fam_acc": 0.9591836734693877,
   "openset_acc": 0.8983050847457628,
   "per_class": {
    "PERSON_A": 1.0,
    "PERSON_C": 0.857,
    "PERSON_D": 0.909,
    "PERSON_E": 1.0,
    "other": 0.6,
    "PERSON_G": 1.0,
    "PERSON_I": 1.0
   },
   "cos_vs_fp32": 1.0,
   "argmax_agree_vs_fp32": 1.0,
   "size_kb": 3981,
   "lat_ms": 11.95,
   "note": "PyTorch fp32 (deploy params only)"
  },
  "fp32_onnx": {
   "fam_acc": 0.9591836734693877,
   "openset_acc": 0.8983050847457628,
   "per_class": {
    "PERSON_A": 1.0,
    "PERSON_C": 0.857,
    "PERSON_D": 0.909,
    "PERSON_E": 1.0,
    "other": 0.6,
    "PERSON_G": 1.0,
    "PERSON_I": 1.0
   },
   "cos_vs_fp32": 1.0,
   "argmax_agree_vs_fp32": 1.0,
   "size_kb": 3968,
   "lat_ms": 63.22,
   "note": "ONNX Runtime fp32"
  },
  "int8_ort": {
   "fam_acc": 0.9591836734693877,
   "openset_acc": 0.9152542372881356,
   "per_class": {
    "PERSON_A": 1.0,
    "PERSON_C": 0.857,
    "PERSON_D": 0.909,
    "PERSON_E": 1.0,
    "other": 0.5,
    "PERSON_G": 1.0,
    "PERSON_I": 1.0
   },
   "cos_vs_fp32": 0.9980310797691345,
   "argmax_agree_vs_fp32": 0.9973333333333333,
   "size_kb": 1119,
   "lat_ms": 91.33,
   "note": "ONNX Runtime static int8, per-channel, 200 calib imgs (deployable)"
  },
  "int8_w": {
   "fam_acc": 0.9591836734693877,
   "openset_acc": 0.8983050847457628,
   "per_class": {
    "PERSON_A": 1.0,
    "PERSON_C": 0.857,
    "PERSON_D": 0.909,
    "PERSON_E": 1.0,
    "other": 0.6,
    "PERSON_G": 1.0,
    "PERSON_I": 1.0
   },
   "cos_vs_fp32": 0.9999483823776245,
   "argmax_agree_vs_fp32": 0.9993333333333333,
   "size_kb": 997,
   "lat_ms": null,
   "note": "simulated: int8 weights per-channel, fp32 activations"
  },
  "int4_w": {
   "fam_acc": 0.9387755102040817,
   "openset_acc": 0.864406779661017,
   "per_class": {
    "PERSON_A": 1.0,
    "PERSON_C": 0.857,
    "PERSON_D": 0.909,
    "PERSON_E": 1.0,
    "other": 0.5,
    "PERSON_G": 1.0,
    "PERSON_I": 0.923
   },
   "cos_vs_fp32": 0.9782859683036804,
   "argmax_agree_vs_fp32": 0.992,
   "size_kb": 499,
   "lat_ms": null,
   "note": "simulated: int4 weights per-channel (coarse)"
  },
  "int4_g32": {
   "fam_acc": 0.9387755102040817,
   "openset_acc": 0.864406779661017,
   "per_class": {
    "PERSON_A": 1.0,
    "PERSON_C": 0.857,
    "PERSON_D": 0.909,
    "PERSON_E": 1.0,
    "other": 0.5,
    "PERSON_G": 1.0,
    "PERSON_I": 0.923
   },
   "cos_vs_fp32": 0.9782859683036804,
   "argmax_agree_vs_fp32": 0.992,
   "size_kb": 529,
   "lat_ms": null,
   "note": "simulated: int4 weights, group=32 scales (llama.cpp-style)"
  }
 }
}