UniversalDataTool is described as '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' and is an app in the audio & music category. There are more than 10 alternatives to UniversalDataTool for a variety of platforms, including Web-based, SaaS, Self-Hosted, Linux and Mac apps. The best UniversalDataTool alternative is Oslovision, which is free. Other great apps like UniversalDataTool are Argilla, Amazon SageMaker Data Labeling, INCEpTION and VGG Image Annotator (VIA).
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.
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...
INCEpTION is a text-annotation environment useful for various kinds of annotation tasks on written text. Annotations are usually used for linguistic and/or machine learning concerns. INCEpTION is a web application in which several users can work on the same annotation project...
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.
Appen's enterprise crowdsourcing solutions offer a cost-conscious, elastic workforce which gives companies immediate, high-quality work.
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
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.
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