Label Box is described as 'A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features' and is an website. There are more than 25 alternatives to Label Box, not only websites but also apps for a variety of platforms, including SaaS, Self-Hosted, Windows and Linux apps. The best Label Box alternative is Oslovision, which is free. Other great sites and apps similar to Label Box are UniversalDataTool, Amazon SageMaker Data Labeling, VGG Image Annotator (VIA) and Meta SAM 2.
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.
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.
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...
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.
SAM 2 is the first unified model for segmenting objects across images and videos. You can use a click, box, or mask as the input to select an object on any image or frame of video.
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.
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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