pycococreator VS labelme2coco

Compare pycococreator vs labelme2coco and see what are their differences.

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pycococreator labelme2coco
1 1
762 247
- -
0.0 3.8
20 days ago 11 days ago
Python Python
Apache License 2.0 GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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pycococreator

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

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.

What are some alternatives?

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

coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter

labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format

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

datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.

bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)

synthetic-computer-vision - A list of synthetic dataset and tools for computer vision

sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.

CPPE-Dataset - Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset

autogluon - Fast and Accurate ML in 3 Lines of Code