cocojson
Utility scripts for COCO json annotation format (by levan92)
coco-viewer
Minimalistic COCO Dataset Viewer in Tkinter (by trsvchn)
cocojson | coco-viewer | |
---|---|---|
1 | 1 | |
21 | 162 | |
- | - | |
0.0 | 0.0 | |
over 1 year ago | 12 days ago | |
Python | Python | |
MIT License | MIT License |
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.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cocojson
Posts with mentions or reviews of cocojson.
We have used some of these posts to build our list of alternatives
and similar projects.
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.
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Any GUI to load labels and the images to verify if the bounding boxes are right?
If your dataset is in a coco format, I had a lot of success with this : https://github.com/trsvchn/coco-viewer
What are some alternatives?
When comparing cocojson and coco-viewer you can also consider the following projects:
datumaro - Dataset Management Framework, a Python library and a CLI tool to build, analyze and manage Computer Vision datasets.
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
label-studio - Label Studio is a multi-type data labeling and annotation tool with standardized output format
labelCloud - A lightweight tool for labeling 3D bounding boxes in point clouds.
pycococreator - Helper functions to create COCO datasets
bbox-visualizer - Make drawing and labeling bounding boxes easy as cake
sahi - Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
imageset-viewer - Pascal VOC BBox Viewer