diffgram VS bbox-visualizer

Compare diffgram vs bbox-visualizer and see what are their differences.

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diffgram bbox-visualizer
9 2
1,781 372
0.5% -
9.1 4.8
13 days ago about 1 month ago
Python Python
GNU General Public License v3.0 or later 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.

diffgram

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

We haven't tracked posts mentioning diffgram yet.
Tracking mentions began in Dec 2020.

bbox-visualizer

Posts with mentions or reviews of bbox-visualizer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-04.

What are some alternatives?

When comparing diffgram and bbox-visualizer you can also consider the following projects:

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

awesome-data-labeling - A curated list of awesome data labeling tools

VoTT - Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

dataqa - Labelling platform for text using weak supervision.

coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter

nuscenes-devkit - The devkit of the nuScenes dataset.

hover - :speedboat: Label data at scale. Fun and precision included.

auto_annotate - Labeling is boring. Use this tool to speed up your next object detection project!

second.pytorch - PointPillars for KITTI object detection

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

Unsupervised-Attention-guided-Image-to-Image-Translation - Unsupervised Attention-Guided Image to Image Translation

active_learning - Code for Active Learning at The ImageNet Scale. This repository implements many popular active learning algorithms and allows training with torch's DDP.