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Annotation platform for image and video data. Supports bounding boxes, polygons, segmentation, plus data augmentation add-ons.
- Starter: free limited seats
- Pro: from $15/user/month
- Enterprise: custom usage
Data labeling and weak supervision platform enabling programmatic labeling, data augmentation, and ML workflows.
- Custom enterprise licensing
- No free plan
- Focus on programmatic labeling & MLOps
Open-source library for deep image augmentations. Often used in combination with PyTorch or TensorFlow for CV tasks.
- Completely free, open source
- No enterprise tier
- Community-driven project
Free tool for training custom image classification models locally, with built-in data augmentation. No coding required.
- Free local usage
- No enterprise plan
- Focus on simple image classification solutions
No-code automation platform (rebranded as Make). Connects apps and services including ML endpoints for data augmentation or triggers.
- Free tier: limited ops
- Paid plans from $9/month
- Enterprise deals for large usage
Data labeling platform for computer vision, including object detection, segmentation, and data augmentation. Collaborative web UI.
- Free limited usage
- Paid from $15/user/month
- Enterprise custom deals
MLOps platform for experiment tracking, data augmentation logs, and model registry. Focus on collab ML workflows.
- Free tier: up to 3 team members
- Pro: from $29/month
- Enterprise: custom scale
Platform for data labeling, data augmentation, and pipeline management in computer vision & deep learning. MLOps for vision tasks.
- Custom enterprise solutions
- No free plan
- Focus on end-to-end CV pipelines
Enterprise knowledge graph platform with semantic reasoning, data virtualization, and ML integration. SPARQL-based queries.
- Enterprise licensing
- No free plan
- Focus on semantic data virtualization
Strongly-typed database for knowledge graphs, using logical schema. Useful for complex entity-relationship modeling & inference.
- Open source core
- Enterprise support deals
- Focus on typed knowledge representation