Software Alternatives & Reviews

Computer Vision Annotation Tool (CVAT) VS deeplearn-rs

Compare Computer Vision Annotation Tool (CVAT) VS deeplearn-rs and see what are their differences

Computer Vision Annotation Tool (CVAT) logo Computer Vision Annotation Tool (CVAT)

Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat

deeplearn-rs logo deeplearn-rs

deeplearn-rs is a deep learning in rust that can be used to build trainable matrix compptation graphs that are configurable at runtime.
  • Computer Vision Annotation Tool (CVAT) Landing page
    Landing page //
    2023-08-26
  • deeplearn-rs Landing page
    Landing page //
    2023-10-21

Computer Vision Annotation Tool (CVAT) videos

Computer Vision Annotation Tool (CVAT): annotation mode

deeplearn-rs videos

No deeplearn-rs videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Computer Vision Annotation Tool (CVAT) and deeplearn-rs)
Data Science And Machine Learning
Data Labeling
100 100%
0% 0
Deep Learning
0 0%
100% 100
AI
100 100%
0% 0

User comments

Share your experience with using Computer Vision Annotation Tool (CVAT) and deeplearn-rs. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Computer Vision Annotation Tool (CVAT) seems to be more popular. It has been mentiond 14 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Computer Vision Annotation Tool (CVAT) mentions (14)

  • Exploring Open-Source Alternatives to Landing AI for Robust MLOps
    Another powerful resource is CVAT, the Computer Vision Annotation Tool which supports both image and video annotations with advanced capabilities such as interpolation of shapes between frames, making it highly suitable for computer vision. - Source: dev.to / 5 months ago
  • Need help identifying a good open source data annotation tool
    CVAT has an open source repo under MIT license: https://github.com/opencv/cvat I've not worked with it directly but it might be a good place to start. Source: 5 months ago
  • Way to label yolov7 images fast
    An open source annotation tool that integrates object detectors is CVAT https://github.com/opencv/cvat however, using your own detector might require some coding. There is an integration for yolov5, but without modification it only loads the pretrained models. Source: about 1 year ago
  • Segment Anything Model is now available in the open-source CVAT
    This integration is currently available in the open-source version of Computer Vision Annotation Tool (http://github.com/opencv/cvat)! Please use it for your computer vision projects to segment images faster. - Source: Hacker News / about 1 year ago
  • How to build computer vision dataset labeling team in-house
    You can download the CVAT docker from a github (Link) and install it yourself, keeping all data local. And here are two options - locally on your personal computer (or company server) or in your own cloud (there are instructions on how to do this with AWS). - Source: dev.to / about 1 year ago
View more

deeplearn-rs mentions (0)

We have not tracked any mentions of deeplearn-rs yet. Tracking of deeplearn-rs recommendations started around Mar 2021.

What are some alternatives?

When comparing Computer Vision Annotation Tool (CVAT) and deeplearn-rs, you can also consider the following products

AWS SageMaker Ground Truth - Build highly accurate training datasets using machine learning and reduce data labeling costs by up to 70%.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

Labelbox - Build computer vision products for the real world

DeepDetect - DeepDetect is a deep learning API and server that is written in C++11 to makes deep learning easy to work with and integrate into existing applications.

Supervisely - Supervisely helps people with and without machine learning expertise to create state-of-the-art...

Deeplearning4j - Deeplearning4j is an open-source, distributed deep-learning library written for Java and Scala.