Empirical calibration for DJL face_feature (ArcFace/FaceNet 512-d) embeddings: cosine distance bands, piecewise confidence formula, enrollment quality targets. Replaces the dlib-based jbaruch/face-recognition-calibration tile for Kotlin/JVM pipelines.
81
86%
Does it follow best practices?
Impact
100%
2.17xAverage score across 2 eval scenarios
Passed
No known issues
{
"name": "jbaruch/face-recognition-calibration-djl",
"version": "0.1.1",
"summary": "Empirical calibration for DJL face_feature (ArcFace/FaceNet 512-d) embeddings: cosine distance bands, piecewise confidence formula, enrollment quality targets. Replaces the dlib-based jbaruch/face-recognition-calibration tile for Kotlin/JVM pipelines.",
"private": false,
"rules": {
"face-recognition-calibration-djl-rules": {
"rules": "rules/face-recognition-calibration-djl-rules.md"
}
},
"skills": {
"face-recognition-confidence-djl": {
"path": "skills/face-recognition-confidence-djl/SKILL.md"
}
}
}