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
If you enjoy my work please consider supporting me
Installing
pip install imantics
Release history Release notifications
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size imantics-0.1.11.tar.gz (13.3 kB) | File type Source | Python version None | Upload date | Hashes View hashes |
