Face++ vs LandingLens

Face++ provides computer vision APIs and SDKs for adding image analysis and recognition to applications. Its face capabilities include detection, 1:1 comparison, 1:N search, facial landmarks and facial attributes. The platform also lists body and skeleton recognition, gesture recognition, OCR, image beautification and photo album clustering. Liveness detection distinguishes a live face from a photo, video or mask to help prevent spoofing attacks. Face++ presents identity verification, eKYC and passport matching, ride-hailing driver verification, biometric retail payments and skin analysis as use cases. Its platforms include Android, API, iOS, macOS, web and Windows. The Face Landmark SDK supports Android, iOS, Windows and Mac, and can perform face detection, tracking and landmarking locally on mobile devices. The free API key has shared QPS limits: 3 total for facial recognition APIs, with Dense Facial Landmarks API limited separately to 1. The SDK trial offers one day of authorized online licensing, with up to five authorizations per day. The free plan is free; other listed billing options have no listed price.

LandingLens is a computer vision platform for building, training, and deploying image-based AI models without complex programming. Its workflow moves from uploading and labeling images to model training and deployment. A label book helps teams align on class and label definitions, and labeling tools can detect mislabeled images; multiple users can label together to build consensus. Models can be deployed to cloud or edge environments through options that include a Windows App and programmatic API, and teams can bring deployment data back for retraining. The platform supports managing projects across locations and teams. Deployment choices also include a Snowflake Native App that runs in the customer’s Snowflake environment and a VPC installation in customer AWS, Azure, or GCP environments on Kubernetes. The Free plan costs nothing and provides 1,000 credits per month, unlimited projects, three users, and up to 10,000 images per project. Training and inference stop at the credit limit; model downloads are limited to one active project and use is noncommercial. Enterprise pricing is available by contacting sales.