Software Alternatives & Reviews

Maptive VS Supervisely

Compare Maptive VS Supervisely and see what are their differences

Maptive logo Maptive

Maptive is a map creator and map making software.

Supervisely logo Supervisely

Supervisely helps people with and without machine learning expertise to create state-of-the-art...
  • Maptive Landing page
    Landing page //
    2023-07-03
  • Supervisely Landing page
    Landing page //
    2023-08-06

Maptive videos

Using the Maptive tool

More videos:

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

Category Popularity

0-100% (relative to Maptive and Supervisely)
Maps
100 100%
0% 0
Data Labeling
0 0%
100% 100
Mapping And GIS
100 100%
0% 0
Image Annotation
0 0%
100% 100

User comments

Share your experience with using Maptive and Supervisely. 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.

Maptive mentions (0)

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

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: about 1 year 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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What are some alternatives?

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

Google Maps - Find local businesses, view maps and get driving directions in Google Maps.

Labelbox - Build computer vision products for the real world

QGIS - QGIS is a desktop geographic information system, or GIS.

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

Mapbox - An open source mapping platform for custom designed maps. Our APIs and SDKs are the building blocks to integrate location into any mobile or web app.

CrowdFlower - Enterprise crowdsourcing for micro-tasks