Alternatives to Labelme

Open-source, multimodal data annotation platform for image, video, 3D point cloud, and audio labeling—self-hosted, cloud, or fully managed

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

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

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

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

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

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

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

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

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

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

Early-stage San Francisco robotics lab building policies for robots that do real work, and hiring its first researchers.

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.

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

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

Browser-based annotation workspace that turns PDFs and long text into structured datasets with AI assistance

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

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

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

AI fashion trend forecasting that quantifies prints, colors, fabrics and shapes up to 24 months ahead from social imagery.

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

Raiinmaker builds custom, rights-cleared video datasets and runs real-time human evaluation for generative AI video models.

Full-service, leaf-level crop intelligence from submillimeter drone imagery plus an AI agronomy engine.

Property intelligence from aerial imagery for insurance underwriting and real estate risk

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

Structured3D: a 3,500-design photo-realistic synthetic dataset with dense 3D structure annotations for scene-understanding research.

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

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