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Workflow Playbook
Separate face detection and alignment from descriptor comparison, gallery recognition, and expression or age-gender estimation, with practical privacy and error boundaries.
Hubs
A face workflow should first state what it needs to learn. Detection answers where a face is. Alignment, cropping, and landmarks make the face region more consistent. None of these steps identify a person.
Descriptors are machine-readable representations of detected faces. A 1:1 comparison measures two images against a threshold, while gallery recognition searches one target against labeled examples. A distance, boolean match, or gallery candidate is evidence for review, not proof of identity. Lighting, pose, occlusion, image quality, and the chosen threshold can change the result.
Expression tools classify visible cues, and age-gender tools estimate attributes from an image. These outputs are not ground truth about emotion, age, gender, or a person’s character. Record the uncertainty and avoid using them as the sole basis for employment, access, education, housing, financial, law-enforcement, or other high-impact decisions.
Use images only with a lawful purpose and appropriate notice or consent. Minimize collection, protect images and descriptors, set a retention period, and delete them when the purpose ends. Test representative conditions for false positives and false negatives, route uncertain cases to a person, and document the threshold and review outcome before delivering a result.
Workflow playbook
Use detection to locate faces, alignment and crop to normalize the region, and landmarks to inspect geometry. These outputs say where a face is and how it is positioned; they do not identify a person.
Generate descriptors, then choose 1:1 comparison for a claimed pair or gallery recognition for a labeled collection. Treat distance, match booleans, and candidates as thresholded evidence that can be wrong, not as identity facts.
Use expression and age-gender tools only when the use is justified. Record that expressions are classifier outputs and age or gender is an estimate; check uncertainty, subgroup performance, consent, and the need for human review before delivery.
Choose A when you only need to find, align, crop, or landmark faces. Choose B when you have a lawful, documented reason to compare two faces or search a labeled gallery; do not treat B as proof of identity.
Choose A for one claimed pair and inspect its distance and threshold. Choose B for one target against labeled examples, then review the candidate list and its uncertainty rather than accepting the top result automatically.