Face Detection API
Detect human faces in an image and analyse each one with on-device machine learning: get the bounding box and a detection confidence, an estimated age, the predicted gender with its probability, and the dominant facial expression together with the full per-expression breakdown (neutral, happy, sad, angry, fearful, disgusted and surprised). A lightweight count endpoint returns just the number of faces and their boxes for fast gating. Supply an image by public URL, base64 or a raw binary request body; only public http/https URLs are accepted and private or internal hosts are blocked, and large images are downscaled automatically. Runs locally on TensorFlow (face-api) — no third-party upstream and no per-image cloud cost — with warm models that keep inference fast. Ideal for photo and avatar apps, audience analytics, smart cameras, auto-cropping and accessibility.
api.oanor.com/facedetect-api