Submit Data
Contributing data: images, text, video, audio, preferences - to various datasets on the platform earns token rewards. This collaborative effort enhances dataset diversity, aiding research and development. Users empower datasets with valuable insights, driving innovation while benefiting from token rewards. It's a symbiotic relationship, fueling progress in AI.
Label Data
Labeling data for rewards entails annotating images, text, or preferences within datasets. This meticulous task ensures dataset accuracy, vital for AI model training. Participants receive rewards for their contributions, incentivizing precise labeling and fostering collaborative efforts towards enhancing AI technology
Verify Data Quality
Verifying data samples and their annotations is critical for ensuring data quality in training AI models. This meticulous process confirms accuracy, completeness, and consistency through our novel Reputation based Consensus Protocol. Rigorous verification safeguards against errors, ensuring reliable training data and bolstering the effectiveness of AI systems across various applications
