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Python package for managing image annotations

Project description

Image Semantics

Image understanding is widely used in many areas like satellite imaging, robotic technologies, sensory networks, medical and biomedical imaging, intelligent transportation systems, etc. Recently semantic analysis has become an active research topic aimed at resolving the gap between low level image features and high level semantics which is a promoting approach in image understanding.

With many image annotation semantics existing in the field of computer vision, it can become daunting to manage. This package provides the ability to convert and visualize many different types of annotation formats for object dectection and localization.

Currently Support Formats:

  • COCO Format
  • Binary Masks
  • YOLO
  • VOC

Installing

pip install imantics

Download files

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Files for imantics, version 0.1.12
Filename, size File type Python version Upload date Hashes
Filename, size imantics-0.1.12.tar.gz (13.6 kB) File type Source Python version None Upload date Hashes View

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