
Supervisely
Labelbox
Universal Data Tool
CrowdFlower
Amazon Mechanical Turk
Playment
Labeling AI
Dataloop AI
HttpMaster
Hoppscotch
API Fortress
Postman
Assertible
Request inspector
SoapSonar
CurlHub.io
Core HttpMaster features are: * HttpMaster project to store complete definition of API calls in one single place. * Broad set of http properties. * Dynamic parameters to simulate variations of input data or create global API values. * Response data validation with logical expressions. * Request chaining to use data from previous request with the next request. * Extensive data upload support, including 'multipart/form-data'. * Request data builder for creating request body with an optional dynamic parameters. * Request item execution with detailed progress monitoring. * Execution groups to create batches of requests. * Comprehensive execution data review and management. * Additional tools (basic request tool for ad-hoc execution, command line interface, OpenAPI import, etc).
Supervisely
HttpMasterHttpMaster is well-suited for developers, QA engineers, and testers who need to perform end-to-end testing of web APIs. It's particularly beneficial for those who require a versatile testing solution with both automated and manual testing features. It's also ideal for teams that need to validate the functionality, performance, and security of their web apps through an intuitive platform.
HttpMaster's answer:
Developers and testers.
HttpMaster's answer:
HttpMaster's answer:
Performance, simple UI, resource friendly.
HttpMaster's answer:
Microsoft .NET.
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: over 3 years 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 / almost 4 years ago
If they were videos, I would have suggested trying supervise.ly as it has a very good tracking functionality. Source: about 4 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: about 4 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: about 4 years ago
Labelbox - Build computer vision products for the real world
Hoppscotch - Open source API development ecosystem
Universal Data Tool - Machine learning, data labeling tool, computer vision, annotate-images, classification, dataset
API Fortress - API performance, accuracy, and uptime testing. Without code.
CrowdFlower - Enterprise crowdsourcing for micro-tasks
Postman - The Collaboration Platform for API Development