Draw Attention vs Segments.ai

Draw Attention is a WordPress plugin for creating interactive image maps. Site owners draw polygon, rectangle, or circle hotspots that visitors can click, tap, or hover over. Hotspots can display text, images, shortcodes, galleries, video, or audio, or direct visitors to another URL. The free edition supports one interactive image. Pro adds six information layouts—tooltip, lightbox, top, bottom, left, and right—and allows unlimited interactive images and clickable areas. The plugin can be inserted with a shortcode, Beaver Builder module, or WordPress Editor Block, and the maker names WPML as a compatible translation plugin. It says image content is available to screen readers, hotspots support keyboard commands, and content remains accessible without JavaScript through an image-map fallback. Plugin data stays in the site owner’s WordPress database; a Pro license key is periodically sent for status checks. Free costs nothing; Pro costs $99 a year for one website or $199 a year for unlimited websites.

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.