AI powered stats

Strict liveness metrics, reported honestly.

TinyLiveness currently ships one FP32 ONNX release model. The website and backend use the stricter APCER 1% policy by default.

APCER 1% release variant

The following metrics are based on a corrected, balanced 400-image test slice containing 200 live and 200 spoof samples. The slice was sampled from a larger 4,000-image live/spoof dataset, with results averaged across 10 separate evaluation windows.

ROC AUC
0.999325
PR AUC
0.999332
Accuracy
98.25%
APCER
1.00%
BPCER
2.50%
ACER
1.75%
BPCER100
3.00%
Threshold
0.990000

Model size and runtime

The model is intended for CPU-friendly API deployments and compact mobile pipelines. The backend route loads FP32 ONNX with CPU execution.

FP32 ONNX size
15.296 MB
Synthetic CPU latency
5.619 ms/image
Input tensor
Nx3x224x224
Normalization
ImageNet