Alternatives to Structured3D

Synthetic data generation for computer vision that ships photorealistic, auto-annotated training sets on demand.

Markup turns PDFs and long text into structured NLP and ML datasets with AI-assisted annotation in the browser

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

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

Prolific connects AI and research teams to 300,000+ verified participants for human feedback, preference tuning, and safety evals.

Generate LLM training datasets with DAG topic graphs and real sandboxed tool-calling traces

Open-source data annotation for text, image, audio, video, 3D, and AI agent traces — built in YAML, self-hosted free.

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

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

Licensed audio datasets for teams training speech recognition, translation, and voice interaction models

Custom audio datasets for training and evaluating voice AI, scoped to your model's spec.

Synthetic data cloud for computer vision: physically-based rendering that generates annotated, multi-sensor training imagery.

Velvet sources, verifies, and delivers curated video datasets so AI labs can train interactive and world models with spatial reasoning.

CVAT is an open-source data annotation platform for image, video, 3D point cloud, and audio labeling.

Free MIT Python CLI that turns AI coding assistant chat history into one normalized JSONL dataset for fine-tuning and analytics.

Snorkel AI builds expert-curated training data and runnable eval environments that fix where frontier models and agents break.

GameEngineBench scores frontier AI models on real UE5 game-engine programming tasks, not static coding puzzles.

Sureform turns your operational data into a licensable AI training asset that pays you per deal

Cortex AI collects real-workplace egocentric video and robot trajectory data, annotated per frame, to train embodied AI and robot foundation models.

Traverse post-trains and serves right-sized models for enterprises, using frontier AI at a fraction of flagship cost.

Physical AI data infrastructure that turns real-world task capture into multimodal robot training datasets

AfterQuery builds expert reasoning training data — SFT, RL rubrics, agent environments, and computer-use trajectories for frontier models.

Free browser tool from Google for training image, sound, and pose classifiers with no code and no account.

PublicAI is a Web3 data infrastructure platform that pays a global workforce in crypto for multi-modal annotation, coding trajectories, and LLM benchmarks.

Load, stream, and preprocess training datasets in one line of Python — open source, Arrow-backed, Hub-native

MOSTLY AI generates privacy-safe synthetic tabular data via its TabularARGN engine and Apache v2 SDK.

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

Licensed conversational audio datasets for training speech and omni-models, with samples in 48 hours.

Open-source, project-based tool for turning your documents into QA datasets for LLM fine-tuning.

Enterprise dataset management platform for AI training teams