Amazon SageMaker Data Labeling is described as 'Amazon SageMaker enables you to label raw data, such as images, text files, and videos, and generate labeled synthetic data to create high-quality datasets for training machine learning (ML) models. SageMaker offers two options, Amazon SageMaker Ground Truth Plus and Amazon' and is an app. There are more than 10 alternatives to Amazon SageMaker Data Labeling for a variety of platforms, including Web-based, Self-Hosted, SaaS, Linux and Mac apps. The best Amazon SageMaker Data Labeling alternative is UniversalDataTool, which is both free and Open Source. Other great apps like Amazon SageMaker Data Labeling are VGG Image Annotator (VIA), Computer Vision Annotation Tool (CVAT), HyperLabel and DINOv2.
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.
A single application for all your vision AI needs Everything you need to go from raw images or videos to production-ready model in one tool. No MLops skills or tricky integrations needed.
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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