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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.
Free nonprofit app that identifies plant species from photos while feeding an open dataset for global biodiversity research.
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
- ✦Plant species identification from a photo
- ✦Community review and correction of identifications
- ✦Open dataset of plant images shared with GBIF
- ✦Developer API and GitHub resources
- ✦Coverage across dozens of regional flora databases
- ✦Donation-supported, ad-free model
- ✦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
- →Hobbyists identifying plants encountered outdoors
- →Researchers using open plant-observation data
- →Educators teaching botany or biodiversity science
- →Conservation projects mapping regional flora
- →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