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.
93%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Passed
No findings from the security scan
The owner of this plugin can generate scenarios and run an eval with the Tessl CLI.
tessl scenario generatetessl eval run