Alternatives to Prodigy Recipes

Custom, ethically sourced video datasets via human validators for AI video training

Open-source data annotation platform for vision AI teams

Offline AI image annotation with SAM2 & SAM3, one-time price, no subscription

Private-deployment data annotation platform for multimodal AI training.

Open-source data engine for multimodal AI pipelines at scale

Open-source annotation for text, audio, images, video, and AI agents with YAML setup.

Custom multimodal data infrastructure for perceptual AI training, emphasizing cultural and contextual richness.

Synthetic data platform for privacy-safe analytics and AI data access

Decentralized training data verified by public consensus

Mercor: Vetted AI experts for model evaluation and training data

Open-source data labeling and AI evaluation for all data modalities

Open-source multimodal lakehouse for AI curation, feature engineering, and search.

RL data engine for AI teams building frontier models and enterprise agents

Managed training data for AI agents and LLMs — agentic skills, coding, AI safety.

Freelance platform where experts train AI models remotely and earn weekly pay.

B2B crowdsourcing platform for AI training data and data services from 8M+ verified workers.

Real-world egocentric video and robot data for embodied AI training

Expert-curated reasoning data that trains frontier models to think like specialists.

Verifier-grounded training data for frontier AI models, built on formal proofs, simulators, and oracles.

A drop-in MNIST replacement for benchmarking fashion image classifiers.

SWE-smith: Auto-generate 100s of task instances from any GitHub repo in ~10 minutes.

Industrial data layer for robotics with VLM-driven high-density action labeling and human-in-the-loop validation.

Collect high-quality human data from verified participants for AI training, evaluation, and research.

Open-source Python library for fast, memory-efficient AI dataset loading and preprocessing.

Human-recorded computer-use datasets for training AI agents

Interactive data exploration and curation for unstructured datasets

Expert data development for frontier AI models and agents

Collaborative data labeling for images, text, documents, and video

Open-source synthetic data generation grounded in real tool execution traces.

Spatial reasoning data and game-engine benchmarks for AI agents.