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Microsoft Azure service to train custom image-classification and object-detection models from your labeled images.
AI mobile app that counts items in a photo across many templates and exports the results as PDF reports with location.
Reverse face-search engine with 3 free daily searches and paid credit tiers to unlock source URLs and confidence scores.
Video-native AI infrastructure that indexes footage for natural-language search, highlight creation, and compliance review at scale.
Multimodal data platform for computer vision and physical-AI teams who need to curate, annotate, and evaluate large visual datasets.
No public pricing
No public pricing
No public pricing
- ✦Custom image classification and object detection
- ✦Train from a few labeled images
- ✦Built-in image tagging/labeling
- ✦REST API for predictions
- ✦Exportable models for edge deployment
- ✦Part of Azure AI Services
- ✦AI item counting from photos
- ✦Category templates for pipes, pills, coins and more
- ✦Real-time processing
- ✦Manual add and remove correction
- ✦PDF report export with location data
- ✦Ad-free experience
- ✦Reverse face search on the public web
- ✦In-memory processing, no stored uploads
- ✦Match counts and confidence bands
- ✦Full source URLs and thumbnails (paid)
- ✦Per-match confidence scores
- ✦Free permanent opt-out for anyone
- ✦Natural-language search across entire video libraries
- ✦Automatic scene and pacing segmentation
- ✦Compliance and brand-safety risk detection with explainable AI
- ✦Automated highlight-reel assembly from long-form footage
- ✦Insight generation across large video datasets
- ✦API, SDK, and MCP integrations for developers
- ✦Dataset curation and filtering across massive multimodal datasets
- ✦Support for images, video, point clouds, and time-series data in one platform
- ✦Model evaluation and scene generation tools
- ✦Annotation workflows with QA and active learning selection
- ✦Deployable on-premise, air-gapped, or in the cloud
- ✦Role-based access control and dataset versioning
- ✦Open-source core plus integrations with existing ML tooling
- →Domain-specific image recognition
- →Visual product or defect inspection
- →Tagging and sorting images
- →Embedding vision in apps via API
- →Inventory and stock counting
- →Industrial and warehouse tallying
- →Medical and pharmacy counting
- →Field counting with reports
- →Verifying dating matches and spotting catfish
- →Confirming a person before meeting
- →Finding recycled or stolen photos of yourself
- →OSINT and source verification
- →Media companies searching and repurposing large video archives
- →Compliance teams scanning footage for policy risks
- →Content teams generating highlight clips from raw footage
- →Developers building video-search features via API
- →Curating training data to improve model accuracy
- →Annotating large-scale visual datasets for computer vision projects
- →Evaluating and comparing model performance on visual data
- →Managing datasets for robotics, autonomous systems, or defense applications