Software Alternatives, Accelerators & Startups

marker.js VS Computer Vision Annotation Tool (CVAT)

Compare marker.js VS Computer Vision Annotation Tool (CVAT) and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

marker.js logo marker.js

Add image annotation feature to your web apps

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

Powerful and efficient Computer Vision Annotation Tool (CVAT) - opencv/cvat
  • marker.js Landing page
    Landing page //
    2023-05-04
  • Computer Vision Annotation Tool (CVAT) Landing page
    Landing page //
    2023-08-26

marker.js features and specs

  • User-Friendly Interface
    Marker.js provides an intuitive and easy-to-use interface for users to annotate images quickly without needing extensive technical knowledge.
  • Real-time Collaboration
    The tool supports real-time collaboration, allowing multiple users to work on the same annotation project simultaneously, which enhances teamwork efficiency.
  • Customizable Annotation Tools
    Marker.js offers a variety of customizable annotation tools, enabling users to tailor their annotation experience according to specific needs.
  • Cross-Platform Compatibility
    The software is compatible with various web technologies and can be seamlessly integrated into different platforms and applications.
  • Lightweight and Fast
    Being a lightweight solution, Marker.js loads quickly and performs efficiently, which is ideal for web applications with performance constraints.

Possible disadvantages of marker.js

  • Feature Limitations
    While Marker.js offers a solid set of annotation tools, advanced users might find it lacking in features compared to more comprehensive annotation software.
  • Dependency on Web Environment
    As a web-based tool, Marker.js relies on an internet connection and compatible browsers, which may not suit environments that require offline access.
  • Potential Learning Curve
    New users may experience a learning curve when first using Marker.js, particularly if they are accustomed to different annotation tools.
  • Limited Support for Specialized Use Cases
    Organizations with highly specialized annotation needs might find Marker.js less suitable, necessitating additional tools or custom solutions.

Computer Vision Annotation Tool (CVAT) features and specs

  • Open Source
    CVAT is open-source, meaning its source code is freely available for anyone to use, modify, and distribute. This encourages community contributions and transparency.
  • Rich Annotation Features
    CVAT provides a wide range of annotation tools for bounding boxes, polygons, polylines, points, and more, which are essential for creating detailed datasets.
  • User-Friendly Interface
    The tool has an intuitive and responsive web interface that simplifies the annotation process, making it easier for users of all experience levels.
  • Collaboration and Multi-User Support
    CVAT supports multiple users working collaboratively on the same project, which enhances productivity in team environments.
  • Integration Capabilities
    CVAT can be easily integrated with other tools and workflows via its REST API, making it adaptable to various project needs.
  • Customizability
    Users can customize the labeling interface and adapt the platform to fit specific task requirements, adding flexibility to its use.

Possible disadvantages of Computer Vision Annotation Tool (CVAT)

  • Installation Complexity
    Setting up CVAT can be complex, requiring knowledge of Docker and command-line operations, which may be challenging for non-technical users.
  • Resource Intensive
    CVAT can be demanding on system resources, particularly when handling large datasets, which may affect performance on less powerful machines.
  • Limited Offline Functionality
    As a largely web-based application, CVAT has limited offline capabilities, which can be a constraint in environments with unreliable internet access.
  • Learning Curve
    Despite its user-friendly interface, mastering all features of CVAT can take time, particularly for users who are new to annotation tools or advanced functionalities.
  • Scalability Challenges
    While CVAT supports multiple users, scaling it for very large teams or extremely large projects may require additional infrastructure and management.

marker.js videos

No marker.js videos yet. You could help us improve this page by suggesting one.

Add video

Computer Vision Annotation Tool (CVAT) videos

Computer Vision Annotation Tool (CVAT): annotation mode

Category Popularity

0-100% (relative to marker.js and Computer Vision Annotation Tool (CVAT))
Productivity
100 100%
0% 0
Data Science And Machine Learning
SaaS
100 100%
0% 0
AI
0 0%
100% 100

User comments

Share your experience with using marker.js and Computer Vision Annotation Tool (CVAT). 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.

marker.js mentions (0)

We have not tracked any mentions of marker.js yet. Tracking of marker.js recommendations started around Apr 2022.

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 / over 1 year 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: over 1 year 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 2 years 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 2 years 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 2 years ago
View more

What are some alternatives?

When comparing marker.js and Computer Vision Annotation Tool (CVAT), you can also consider the following products

Annotable - Ultimate image annotation & markup tool

Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset

Annotate Screen - Browser based annotation tool.

Segments.ai - Multi-sensor labeling platform for robotics and autonomous driving

Jesi.app - An always up to date timezone widget for your email

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