labelme2coco VS coco-viewer

Compare labelme2coco vs coco-viewer and see what are their differences.

labelme2coco

A lightweight package for converting your labelme annotations into COCO object detection format. (by fcakyon)
labelme Coco object-detection instance-segmentation semantic-segmentation image-classification Deep Learning Machine Learning Computer Vision Windows Linux MacOS Python annotation-conversion
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coco-viewer

Minimalistic COCO Dataset Viewer in Tkinter (by trsvchn)
Coco Viewer object-detection bbox masks coco-viewer bounding-boxes Computer Vision HacktoberFest
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labelme2coco coco-viewer
1 1
247 159
- -
3.8 0.0
9 days ago 7 days ago
Python Python
GNU General Public License v3.0 only MIT License
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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.

coco-viewer

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

What are some alternatives?

When comparing labelme2coco and coco-viewer you can also consider the following projects:

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

cocojson - Utility scripts for COCO json annotation 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

labelCloud - A lightweight tool for labeling 3D bounding boxes in point clouds.

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

pycococreator - Helper functions to create COCO datasets

mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.

bbox-visualizer - Make drawing and labeling bounding boxes easy as cake

autogluon - Fast and Accurate ML in 3 Lines of Code

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

mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation

imageset-viewer - Pascal VOC BBox Viewer

labelme2coco vs labelme coco-viewer vs cocojson labelme2coco vs albumentations coco-viewer vs labelCloud labelme2coco vs bpycv coco-viewer vs pycococreator labelme2coco vs mmsegmentation coco-viewer vs bbox-visualizer labelme2coco vs autogluon coco-viewer vs sahi labelme2coco vs mask-rcnn coco-viewer vs imageset-viewer