Annota AI vs Segments.ai

Annota AI combines image annotation, document OCR and review, and AI tools in a web or self-hosted workspace. For images, Magic Select creates an object mask for review and Magic Annotate locates selected labels in an image or dataset. Users can draw and edit bounding boxes and polygons, use segmentation masks, and export images and annotations in COCO format; PNG and JPEG are supported. Document datasets accept PDF, PNG, and JPEG files. OCR extracts content page by page for checking and correction, with exports as a Markdown ZIP or an Obsidian-compatible LLM Wiki workspace. Compatible agents connect through MCP remote servers using Streamable HTTP and OAuth, while organization permissions and shared credits apply. The maker says infrastructure and models run in EU regions without external AI-provider APIs. Plans range from Free at free to Pro at €21.96 a month and Team at €29.28 per member per month; Enterprise pricing is by quote. YOLO training remains private beta and requires separate approval.

Segments.ai is a data labeling platform for robotics and autonomous vehicle work, with tools for both images and 3D point clouds. Teams can mark data with segmentation, cuboids, bounding boxes, keypoints, polygons, and polylines, view images alongside point clouds, and project labels between sensors. For sequences, Batch Mode, merged point clouds, interpolation, and automated tracking support labeling across objects and frames. Image workflows include Superpixel, Autosegment, hover-and-click segmentation, and model predictions that teams can review and correct. Its Python SDK handles uploads, label downloads, dataset management, and webhooks; TensorFlow and PyTorch are named integrations. The product is available through web and API access, and datasets can be exported as JSON, PyTorch, TensorFlow, or Hugging Face formats. Core includes cloud bucket integrations. The company states it is EU based, ISO 27001 certified, and GDPR compliant. Pricing is on request, with a 14-day trial; a free academic license is available for non-commercial research at free.