VGG Image Annotator (VIA) is described as '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' and is an app. There are more than 10 alternatives to VGG Image Annotator (VIA) for a variety of platforms, including Web-based, SaaS, Self-Hosted, Mac and Windows apps. The best VGG Image Annotator (VIA) alternative is Oslovision, which is free. Other great apps like VGG Image Annotator (VIA) are UniversalDataTool, Amazon SageMaker Data Labeling, Meta SAM 2 and Computer Vision Annotation Tool (CVAT).
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.
Oslovision is the most popular Web-based & SaaS alternative to VGG Image Annotator (VIA).
Oslovision is the most popular free alternative to VGG Image Annotator (VIA).
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.
UniversalDataTool is the most popular Windows, Mac & Linux alternative to VGG Image Annotator (VIA).
UniversalDataTool is the most popular Open Source alternative to VGG Image Annotator (VIA).
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...
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.
Meta SAM 2 is the most popular Self-Hosted alternative to VGG Image Annotator (VIA).
Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms.
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).
A desktop application with a UX built for through-put, HyperLabel is a complete toolset for quality labeling process management and training data creation.
Appen's enterprise crowdsourcing solutions offer a cost-conscious, elastic workforce which gives companies immediate, high-quality work.
Appen is the most popular commercial alternative to VGG Image Annotator (VIA).
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.
The smart way to manage your Computer Vision datasets. You have thousands of images and 10 times as many annotations.
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...
Norway
United States
Australia
