Polygon Annotation

Precise multi-point polygon annotation for Deep Learning

spatial data analytics
Asset monitoring

Join our Platform and start your first Polygon annotation project

Polygons and Area annotation: Deep Learning

How it Works

Polygons are used in the models where the objects do not have a regular shape, and require precision.
Challenges and solutions: 
*  Pixel-level accuracy. Our custom designed image annotation tools allow drawing precisely the borders of the object and record the maximim x/y points for the Deep Learning model.  COCO format allows machine learning engineers to use the appropriate shape in class training, interchangeably between using the output recorded as rectangle or multi-point polygon.
*  Geospatial. If the the polygonal annotation is a part of physical footprint mapping, where the borders of the objects (container ships, cranes) matter, choosing polygon annotation as a tool is important. In addition, to free line polygon, at TaQadam we used ellipses and other standard shapes to increase the speed. 

Polygon annotation drawing

Why TaQadam: We Make Visual Data AI-Ready

Image Annotation company with a complete solution on AI data training:
Image annotation toolData Management Platform and Trained Teams
  • Quality Assured Annotation
  • Managed Teams
  • Standard or Custom Data Output
  • Industry Specific Expertise
  • Data Management Platform
  • No Project Management Fee
  • Security and Non-Disclosure
Learn more about our Company
If you are interested to request a Demo, or inquire regarding Image Annotation Pricing: