Labelbox acts as a complete data factory for AI projects, offering software, managed labeling services via its Alignerr network, and tools to create, label, and evaluate data across images, videos, audio, text, and more. Companies from startups to big enterprises use it to generate clean datasets for training advanced models, including reinforcement learning and agent evaluations. This platform speeds up AI breakthroughs by combining human expertise with automation, ensuring consistent quality without the hassle.
Key Features
Fully managed labeling through Alignerrs for on-demand, high-quality data in areas like robotics and coding.
Advanced tools for model evaluation, rubric-based assessments, and RLVR for verifiable rewards on tasks like math or code.
Support for multimodal data (images, video, audio, text) with AI-assisted automation like auto-segmentation.
Leaderboards and research datasets to benchmark top AI models on complex reasoning and agents.
Use Cases
Train robotics models with precise trajectory data and evaluations for real-world navigation.
Develop coding and math AI using verifiable reward signals for accurate feedback.
Build multimodal agents handling audio, video, and text for tasks like customer service or content analysis.