Revamped 2D Vector Segmentation on SamaHub

Audrey Boguchwal

July 11, 2019

2 Minute Read

Samasource is pleased to announce production availability of our revamped toolset for 2D image vector segmentation using bounding boxes, polygons and lines.

The vector toolset is ideal for computer vision projects using vector shapes to structure training data for detection, classification, labeling and object tracking projects.

The new vector toolset is an update to our previous offering for annotating 2D images. The new tools contain UX enhancements and new features designed to further improve annotation efficiency and accuracy for our expert workforce.

Housed in Samasource’s proprietary platform, SamaHub, the toolset leverages existing Hub capabilities for work prioritization and quality management, to deliver the highest quality training data every time.

Samasource New 2D Vector Image Annotation Screenshot


The new vector toolset is optimized for quality. The annotation workspace has a larger image display and more precise drawing tools enabling Samasource’s workforce to annotate with an even greater degree of accuracy.

The toolset gives individual annotators direct access to image and shape adjustment options (such as shape opacity), instead of restricting these options to the admin control panel.

Now, individual annotators can adjust settings to get the best view of every unique image while annotating.


The toolset is also optimized for efficiency. The larger image, new keyboard hotkeys and more intelligent zoom features help reduce time spent panning and adjusting an image.

What’s more, the toolset is built on a modern codebase that helps streamline development for new features built by Samasource’s dedicated engineering team.


From autonomous vehicle applications to high tech e-commerce initiatives, Samasource has the annotation technology to put your project on track for success. Drop us a line, and request a demo of the new toolset in action.

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Audrey Boguchwal

Currently a Senior Product Manager at Samasource, Audrey guides cross-functional teams to create thoughtful product solutions. She has guided teams of designers and engineers at HUGE Inc. and NBCUniversal, and monitored user analytics at the Wall Street Journal. With a BA in history from Harvard, an MA in anthropology from Columbia and an MBA from UNC Chapel Hill KFBS, Audrey is passionate a using technology and data analytics facilitate social impact and environmental solutions through technology.