Shaip
CloudFactory
Labelbox
Playment
BasicAI
Alegion
Appen
V7
Supervisely
Labelbox
Universal Data Tool
CrowdFlower
Amazon Mechanical Turk
Computer Vision Annotation Tool (CVAT)
Playment
Dataloop AI
Shaip is a leader and innovator in the structured AI Data solutions category. Our strength is in the ability to bridge the gap between industries with AI initiatives and the high-quality data they require. The ultimate benefit we provide to our clients is the vast amounts of structured data to train their AI models with superior accuracy and the desired outcomes. And it’s all done right the first time to adhere to the most demanding project's specifications. We have the people, processes and human in-the-loop platform to meet these challenging AI projects and we do it within the set timeframes and budgets. This not only enhances an organization’s ability to get ahead in launching their AI products that work as designed, but they can reach their target markets whether they are local, regional, or worldwide. This is the Shaip difference, where better AI data means better results for you.
SuperviselyWorking for 5 years and it's been a great experience.
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.
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
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: over 1 year 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
CloudFactory - Human-powered Data Processing for AI and Automation
Labelbox - Build computer vision products for the real world
Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
Playment - Playment is a fully-managed solution offering training data for AI, transcription, data collection and enrichment services at scale.
CrowdFlower - Enterprise crowdsourcing for micro-tasks
BasicAI - BasicAI combines the best of human and machine intelligence to provide high-quality annotated training data that powers the most innovative machine learning.