Software Alternatives & Reviews

Supervisely VS Snap Art

Compare Supervisely VS Snap Art and see what are their differences

Supervisely logo Supervisely

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

Snap Art logo Snap Art

Snap's augmented reality platform
  • Supervisely Landing page
    Landing page //
    2023-08-06
  • Snap Art Landing page
    Landing page //
    2023-10-07

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

Snap Art videos

Snap Art review

More videos:

  • Tutorial - Getting Started with Snap Art 4 - How to use Snap Art
  • Review - Introduction to Snap Art 4 - What is Snap Art?

Category Popularity

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

User comments

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Social recommendations and mentions

Based on our record, Supervisely should be more popular than Snap Art. 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
View more

Snap Art mentions (3)

  • Face tracking and projection
    You can do your own mask animation using Lens Studio. Try it here. Source: over 2 years ago
  • How to distribute an AR app?
    The Snapchat version is basically the same, but it's called Lens Studio. Source: over 2 years ago
  • New Snap Spectacles Feature Augmented Reality Display
    Oh gotcha. Right now it's a developer platform. It runs any JS code + graphics that you write in Lens Studio. https://lensstudio.snapchat.com/. - Source: Hacker News / almost 3 years ago

What are some alternatives?

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

Labelbox - Build computer vision products for the real world

Apple ARKit - A framework to create Augmented Reality experiences for iOS

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

Made With ARKit - Hand-picked curation of the coolest stuff made with ARKit

CrowdFlower - Enterprise crowdsourcing for micro-tasks

Facebook AR Studio - Facebook's developer platform for Augmented Reality