Computer Vision Annotation Tool (CVAT) Alternatives

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...

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 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.

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.

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.

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.

A downloadable annotation tool for NLP and computer vision tasks such as named entity recognition, text classification, object detection, image segmentation, A/B evaluation and more.

DataLoop’s mission is to supply organizations with the solution to rapidly develop and deploy AI products with high accuracy at a minimal cost.