LandingLens vs SentiSight.ai

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.

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.