Software Alternatives & Reviews

Supervisely VS MoMAR

Compare Supervisely VS MoMAR and see what are their differences

Supervisely logo Supervisely

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

MoMAR logo MoMAR

AR gallery within the MoMA + open source
  • Supervisely Landing page
    Landing page //
    2023-08-06
  • MoMAR Landing page
    Landing page //
    2023-09-26

Supervisely videos

🛠️Basic annotation overview - Supervisely

More videos:

  • Review - Cars annotation in Supervisely: Polygons vs. AI powered tool
  • Tutorial - Yolo v3 Tutorial #2 - Object Detection Training Part 1 - Create a Supervisely Cluster

MoMAR videos

MoMar Presents: 2021 Year in Review (Part 2)

More videos:

  • Review - Momar Balsamo | GP Sessions

Category Popularity

0-100% (relative to Supervisely and MoMAR)
Image Annotation
100 100%
0% 0
iPhone
0 0%
100% 100
Data Labeling
100 100%
0% 0
Augmented Reality
0 0%
100% 100

User comments

Share your experience with using Supervisely and MoMAR. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Supervisely seems to be more popular. It has been mentiond 6 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.

Supervisely mentions (6)

  • Way to label yolov7 images fast
    Another annotation tool that integrates prediction and training within the application is supervisely supervisely.com., unfortunately it's pretty expensive unless you are satisfied with the community version. I saw that they have an integration for owl-vit, which might be helpful for annotation of animals. https://ecosystem.supervisely.com/apps/serve-owl-vit. Source: 12 months ago
  • 65 Blog Posts to Learn Data Science
    Hello world. This tutorial is a gentle introduction to building modern text recognition system using deep learning in 15 minutes. It will teach you the main ideas of how to use Keras and Supervisely for this problem. This guide is for anyone who is interested in using Deep Learning for text recognition in images but has no idea where to start. - Source: dev.to / over 1 year ago
  • Bounding Box for Text Annotation
    If they were videos, I would have suggested trying supervise.ly as it has a very good tracking functionality. Source: over 1 year ago
  • CVAT alternatives for video frame annotation
    Hi, I'm exactly in the same boat like you are. I looked around for a while and the better solutions I found was supervise.ly and CVAT for video annotation. The pricetag on supervisely is pretty high, so I analyzed CVAT for a couple days and was positively surprised. Source: almost 2 years ago
  • Accessing 2022 Machine Learning Imagery from WPI's Photo Album
    Under the WPI Photo Ambum section of the page for FRC field photos (https://www.firstinspires.org/robotics/frc/playing-field#WPIPhotos), they have a section of machine learning imagery. However, this link goes to supervise.ly, the website they use for machine learning. I created an account to attempt to download the images, however, whenever I try to 'clone' the project, it stalls at 0% and gives me an error... Source: almost 2 years ago
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MoMAR mentions (0)

We have not tracked any mentions of MoMAR yet. Tracking of MoMAR recommendations started around Mar 2021.

What are some alternatives?

When comparing Supervisely and MoMAR, you can also consider the following products

Labelbox - Build computer vision products for the real world

Snap Art - Snap's augmented reality platform

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

PictureThat - Fill your walls with art and photos in AR 🎨

CrowdFlower - Enterprise crowdsourcing for micro-tasks

Flotogram - Take photos and leave them floating in space