Labeling AI is a deep learning-based technology that automatically labels large amounts of data based on a small amount of pre-labeled data available.
Cost / License
- Subscription
- Proprietary
Platforms
- Online
- Software as a Service (SaaS)




HyperLabel is described as 'A desktop application with a UX built for through-put, HyperLabel is a complete toolset for quality labeling process management and training data creation' and is an app. There are more than 25 alternatives to HyperLabel for a variety of platforms, including Web-based, SaaS, Self-Hosted, Linux and Windows apps. The best HyperLabel alternative is UniversalDataTool, which is both free and Open Source. Other great apps like HyperLabel are Argilla, Amazon SageMaker Data Labeling, VGG Image Annotator (VIA) and Meta SAM 2.
Labeling AI is a deep learning-based technology that automatically labels large amounts of data based on a small amount of pre-labeled data available.




DataLoop’s mission is to supply organizations with the solution to rapidly develop and deploy AI products with high accuracy at a minimal cost.
A downloadable annotation tool for NLP and computer vision tasks such as named entity recognition, text classification, object detection, image segmentation, A/B evaluation and more.



Edgecase.ai offers a full suite of services and software for data annotation, synthetic data and AI services. From dedicated professionals, to medical professionals, agronomists and other sectors.
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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...



Label Studio is an open source data labeling tool. It lets you label data types like audio, text, images, videos, and time series with a simple and straightforward UI and export to various model formats.

The smart way to manage your Computer Vision datasets. You have thousands of images and 10 times as many annotations.
The platform for computer vision experts to iterate more quickly between data labeling, model training and failure case discovery.

No-code tool for generative image data augmentation helping to improve the accuracy of an AI model without changing the network architecture.
