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Cvat: Computer Vision Annotation Tool (CVAT) is a leading platform for building high-quality visual datasets for vision AI. It is listed under Development & Code on AI Registry as a free tool.
The tools below are approved listings in the same category, ordered by how closely their tags match Cvat. This is an automatic list. We have not written a researched verdict for Cvat yet, so treat it as a shortlist and check each vendor's pricing page before switching.
Built from each tool's listing. Vendors can update their own listing after claiming it.
Learn it. Build it. Ship it for others.
AI Engineering from Scratch is a free, open source curriculum that teaches AI engineering by building every core algorithm by hand before any framework is introduced. It spans 20 phases, from linear algebra through tokenizers, backpropagation, attention and agent loops to autonomous multi agent systems, with lessons in...
Image augmentation for computer vision.
AlbumentationsX is a Python library for image augmentation in computer vision and the actively developed library of the Albumentations ecosystem. It builds fast, reproducible augmentation pipelines that transform images together with their masks, bounding boxes, keypoints and 3D data, so training sets can be expanded w...
3D Computer Vision Framework
AliceVision is an open source photogrammetric computer vision framework for 3D reconstruction and camera tracking. It infers the geometry of a scene from a set of unordered photographs or video frames by chaining Structure from Motion and Multi View Stereo pipelines into a dense 3D model. The project also covers HDR pa...
An open source framework for research in Embodied-AI from AI2.
AllenAct is an open source learning framework for Embodied AI research, built and backed by the Allen Institute for AI (AI2), a non profit research institute. It is designed for training and evaluating agents that perceive and act inside simulated environments, and it decouples tasks from environments so researchers ca...
Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2/2.1+SAM3), MobileSAM!!
AnyLabeling is an open source desktop application for annotating images to build computer vision datasets, with AI assisted labeling from Segment Anything and YOLO models. Its maintainers describe it as LabelImg plus Labelme with an improved interface and automatic labeling, so a user can click a point or draw a box an...
Images to inference with no labeling (use foundation models to train supervised models).
Autodistill is an open source Python library from Roboflow that uses large, slow foundation models to train small, fast supervised models for computer vision. You feed it unlabeled images, a large base model labels them automatically according to an ontology you define, and the resulting dataset trains a compact target...