CompreFace vs SentiSight.ai

CompreFace is a free, open-source face recognition service that provides capabilities through a REST API. It supports face recognition and verification, plus face, landmark and mask detection, head pose detection, age recognition and gender recognition. The project says setup and use do not require prior machine-learning skills. It is packaged as a Docker Compose configuration and can run as a standalone server or in the cloud; listed deployment options also include hybrid use. Setup instructions cover Windows, macOS and Linux and require Docker with Docker Compose or Docker Desktop. The service supports CPU and GPU models, with an x86 processor supporting AVX among the stated requirements. A UI panel and role management let users manage roles and control access to face recognition services. The project names FaceNet and InsightFace among its underlying libraries and links JavaScript, Python and .NET SDK repositories. CompreFace is self-hosted and released under Apache 2.0. The documented quick start uses a release archive and starts the service with docker-compose up -d; the project also points users to GitHub channels and a community chat.

SentiSight.ai is a web-based platform for labeling images and developing image-recognition applications. It supports classification, object detection, and segmentation models, with annotation tools for labels, boxes, polygons, points, polylines, and bitmaps. Smart labeling uses selected foreground and background points to extract an object from an image. Shared projects allow multiple users to label images, while project managers can track progress and time and manage roles and permissions. Image search can find images resembling an uploaded query or similar pairs within a dataset. Pre-trained models cover content moderation, goods classification, automatic hashtags, and people counting. Models can run in the web interface or through a REST API, or offline after downloading a model and setting up a local REST API server. Android and iOS apps make predictions from uploaded images or camera photos, but cannot train models or label images already uploaded. The service has a free plan and a 30-day trial. The Pay-as-you-go plan includes €5 monthly complimentary credits and €20 free credits for new users; listed usage rates include €1 / 1000 predictions, €1 / 1000 labels, and €3.6 / hour of training.