Alternatives to Cvat

Potato is a free, open-source annotation tool for text, image, audio, video, and AI agent trace labeling — all configured in YAML.

Daft is an open-source multimodal data engine for turning video, images, audio, and sensor data into training-ready datasets.

Offline AI image annotation for YOLO and VOC datasets — local SAM2, SAM3 and YOLO-World, one-time purchase from $49.

Open-source Java software for processing and analyzing scientific images, extensible through hundreds of plugins

Open-source Unreal Engine plugin giving computer vision researchers synthetic images with pixel-perfect ground truth.

Velvet sources, verifies, and delivers curated video datasets that help AI labs train interactive and world models with real spatial reasoning.

Open-source Python framework for generating grounded synthetic datasets from real sandboxed tool execution traces.

Cortex AI supplies real-workplace egocentric video and robot trajectory data for training embodied AI models.

A free 70,000-image Zalando clothing dataset built as a drop-in replacement for MNIST.

Multimodal retrieval platform that turns video, image, audio and document files in your own object storage into searchable, timestamped scenes.

Open-source platform for data labeling, AI evaluation, and human-in-the-loop workflows across every data modality.

Janus Pro unifies multimodal image understanding and text-to-image generation in one open-source 1B/7B model by DeepSeek.

Open-source data layer for Physical AI: log, query, transform, visualize, and train multimodal robotics data on one toolchain.

Human-recorded computer-use datasets that teach AI agents to operate real software the way people do.

Meta's open-source model for promptable object segmentation in both images and video, released under Apache 2.0.

Applied research lab that captures expert reasoning and structures it into SFT, RL rubric, agent, and computer-use training data for frontier models.

MagicDrive is an open-source framework that generates multi-camera street-view images and video from precise 3D geometry control for autonomous driving

A human data platform connecting AI teams and researchers to 300,000+ verified participants for preference tuning, safety evals, and online studies.

GameEngineBench benchmarks and UE5 training data for AI agents that write real game-engine code.

Universal Data Tool is a collaborative data labeling platform for images, text, documents, and video datasets.

Snorkel AI builds expert training data, evals, and runnable environments for frontier models and agents.

BioStack Platforms supplies structured clinical datasets and RL environments for healthcare AI teams.

Per-plant crop intelligence platform from Alphabet's X, now acquired by Driscoll's and John Deere

Web3 data network paying contributors in crypto for text, audio, video, code, and mapping data that trains AI models.

Google Cloud's vision suite: Cloud Vision API, Document AI, and Video Intelligence APIs for images, documents, and video.

Open-source multimodal lakehouse that keeps curation, feature engineering, hybrid search, and training on one Lance table.

Open-source Python toolkit that auto-labels images with big foundation models, then trains small fast vision models you own.

Local-first AI memory for your Mac that indexes video, audio, images, and documents so you can search by what's inside them.

Open-source procedural generator that builds photorealistic 3D worlds and labeled synthetic training data from pure code.

Private-deployment data annotation platform for multimodal AI training, from BasicAI.