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.
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.
VGG Image Annotator is a simple and standalone manual annotation software for image, audio and video. VIA runs in a web browser and does not require any installation or setup.
Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms.
A desktop application with a UX built for through-put, HyperLabel is a complete toolset for quality labeling process management and training data creation.
A family of foundation models producing universal features suitable for image-level visual tasks (image classification, instance retrieval, video understanding) as well as pixel-level visual tasks (depth estimation, semantic segmentation).
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.
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
Data labeling tool for various data types with a customizable interface, annotation team management, and automatic labeling through active learning.
No-code tool for generative image data augmentation helping to improve the accuracy of an AI model without changing the network architecture.
The platform for computer vision experts to iterate more quickly between data labeling, model training and failure case discovery.
The smart way to manage your Computer Vision datasets. You have thousands of images and 10 times as many annotations.
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