Labeling AI is described as 'Deep learning-based technology that automatically labels large amounts of data based on a small amount of pre-labeled data available' and is an app. There are more than 10 alternatives to Labeling AI for a variety of platforms, including Web-based, SaaS, Mac, Windows and Linux apps. The best Labeling AI alternative is Oslovision, which is free. Other great apps like Labeling AI are UniversalDataTool, HyperLabel, Supervisely and Appen.
Image annotation tool for modern computer vision. Easy to use, great for teams of all sizes. Hooks into training pipelines, designed around the latest State of the Art computer vision models.
Oslovision is the most popular Web-based & SaaS alternative to Labeling AI.
Oslovision is the most popular free alternative to Labeling AI.
The Universal Data Tool is a User Interface for editing and annotating Images (Computer Vision, Bounding Boxes, Segmentation), Text (Named Entity Recognition, Classification) or general purpose data entry. to view and edit any data defined in the extensible the .udt.
UniversalDataTool is the most popular Windows, Mac & Linux alternative to Labeling AI.
UniversalDataTool is the most popular Open Source alternative to Labeling AI.
A desktop application with a UX built for through-put, HyperLabel is a complete toolset for quality labeling process management and training data creation.
Supervisely helps people with and without machine learning expertise to create state-of-the-art computer vision applications. We care about entire workflow from raw data to building and deploying neural networks for your special task without coding.
Appen's enterprise crowdsourcing solutions offer a cost-conscious, elastic workforce which gives companies immediate, high-quality work.
Appen is the most popular commercial alternative to Labeling AI.
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
The SuperAnnotate platform enables you to build, fine-tune, iterate, and manage your AI models faster, with the highest-quality training data.
A General Toolbox for Identifying Object Detection Errors - GitHub - dbolya/tide: A General Toolbox for Identifying Object Detection Errors
The platform for computer vision experts to iterate more quickly between data labeling, model training and failure case discovery.
Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. With its no-code data labeling interface, you can achieve your MLOps projects in...
FiftyOne provides the building blocks for optimizing your dataset analysis pipeline, including visualizing complex labels, evaluating your models, exploring scenarios of interest, identifying failure modes, finding annotation mistakes, and much more!.
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