labelme2coco VS pycococreator

Compare labelme2coco vs pycococreator and see what are their differences.

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labelme2coco pycococreator
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
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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labelme2coco

Posts with mentions or reviews of labelme2coco. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-12.
  • What's A Simple Custom Segmentation Pipeline?
    3 projects | /r/computervision | 12 Feb 2021
    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

Posts with mentions or reviews of pycococreator. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing labelme2coco and pycococreator you can also consider the following projects:

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