labelme2coco
pycococreator
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labelme2coco | pycococreator | |
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1 | 1 | |
246 | 761 | |
- | - | |
3.8 | 0.0 | |
6 days ago | 15 days ago | |
Python | Python | |
GNU General Public License v3.0 only | Apache License 2.0 |
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labelme2coco
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What's A Simple Custom Segmentation Pipeline?
I would also suggest labelme, it's pretty easy to use. Just type "labelme" in the shell after pip installing and you will see the GUI. There are tools to convert to coco format (like https://github.com/fcakyon/labelme2coco) if needed, for instance for Detectron2.
pycococreator
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How to convert properly annotations to a mask image?
binary_mask_to_polygon from pycococreatortools might work https://github.com/waspinator/pycococreator
What are some alternatives?
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
synthetic-computer-vision - A list of synthetic dataset and tools for computer vision
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
autogluon - AutoGluon: Fast and Accurate ML in 3 Lines of Code
CPPE-Dataset - Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset