Supervisely
Labelbox
Universal Data Tool
CrowdFlower
Amazon Mechanical Turk
Computer Vision Annotation Tool (CVAT)
Segments.ai
Dataloop AI
Userlane
UserGuiding
Appcues
Usetiful
WalkMe
Userpilot
Stonly
Product Fruits
Tools are created to serve our own purposes and technology needs to add value to our lives without creating friction.People should not adapt to technology. Technology needs to adapt to people. We don't need to teach people how to interact with software but train software to interact with people. Software adoption relies on people learning how to navigate through a user interface. But this causes resistance and hinders productivity. We close the knowledge gap between humans and machines by allowing anybody to operate any software instantly. For Software providers that need to sell their product the ability to guide users in real time translates into higher engagement, activation, conversion, and retention. Companies that implement on-screen interactive guidance in the applications their staff needs to work with, solve all the logistic problems connected to staff training and see an increase in productivity that derives from a workforce which is fully operative in any software application from the get-go.
Supervisely UserlaneBased 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.
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
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
If they were videos, I would have suggested trying supervise.ly as it has a very good tracking functionality. Source: almost 2 years ago
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
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
Labelbox - Build computer vision products for the real world
UserGuiding - User onboarding made easy, for less. Create product walkthroughs in a couple of clicks, without breaking the bank.
Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
Appcues - Improve user onboarding, feature activation & more — no code required! Stop waiting on dev and start increasing customer engagement today. Try it for free.
CrowdFlower - Enterprise crowdsourcing for micro-tasks
Usetiful - Fight user churn with great user onboarding. Interactive product tours and smart tips significantly improve your user retention.