Computer Vision Annotation Tool (CVAT) is described as 'Web-based tool which helps to annotate video and images for Computer Vision algorithms' and is an app in the office & productivity category. There are more than 10 alternatives to Computer Vision Annotation Tool (CVAT) for a variety of platforms, including Web-based, SaaS, Self-Hosted, Windows and Linux apps. The best Computer Vision Annotation Tool (CVAT) alternative is Roboflow, which is free. Other great apps like Computer Vision Annotation Tool (CVAT) are UniversalDataTool, Amazon SageMaker Data Labeling, VGG Image Annotator (VIA) and Meta SAM 2.
With a few images, you can deploy a computer vision model in an afternoon. Roboflow empowers developers to build their own computer vision applications, no matter their skillset or experience. We streamline the process between labeling your data and training your model.
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.
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).
quicklabel is a native, streamlined GUI tool for manual classification of prompt/image pairs, meant for hobbyists. Outputs dreambooth-style finetuning datasets, as taken by the kohya_ss finetuning scripts.
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.
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.
A complete solution for your training data problem with fast labeling tools, human workforce, data management, a powerful API and automation features.
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.
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Requires additional software to create useful anotations. However, DinoV2 could be used as extension in other software to produce annotations, just not by itself