#machine-learning

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

Moderate images automatically with on-device machine learning. Classify any image across five categories — neutral, drawing, sexy, porn and hentai — and receive per-class probabilities, the top class, a combined NSFW score and a clear verdict (safe, questionable or nsfw). A simpler check endpoint returns a single safe/unsafe decision against a threshold you choose, ideal for upload gates and user-generated-content pipelines. 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 (NSFWJS / MobileNetV2) — no third-party upstream and no per-image cloud cost — with a warm model that keeps inference fast. Ideal for community platforms, marketplaces, dating and chat apps, and any service that accepts user images.

api.oanor.com/nsfw-api