Label to Earn x NFT

In artificial intelligence, data quality is crucial for the accuracy and performance of model training. However, the cost and time of annotating data in large datasets are often prohibitive. To improve the efficiency of data annotation, EpiK Protocol has created the Knowledge Mainland app, an AI data annotation platform where users can earn rewards by annotating data. In addition, EpiK Protocol aims to change traditional data annotation methods through the “Label to Earn” approach and provide users with more annotation opportunities and income.

So far, EpiK Protocol has annotated over 2.2 billion high-quality AI training data through the Knowledge Mainland app, covering various data formats such as text, speech, images, and videos. However, more high-quality AI data is needed to achieve the grand goal of a universal artificial intelligence future. Therefore, EpiK Protocol will bring new ways to “Label to Earn” in 2023, including combining it with NFTs.

NFTs (Non-Fungible Tokens) are a hot topic in the blockchain industry and are gaining more and more attention. In “Label to Earn,” the addition of NFTs will bring many benefits:

• NFTs can be used as prizes that users can earn by annotating data.
  NFTs can be used as “shovels,” allowing users to receive subsequent airdrops.
• NFTs can be used as “game props” that can affect the efficiency and weight of data annotation and optimize annotation strategies.

EpiK Protocol believes that more high-quality AI data will be produced on the Knowledge Mainland app in the future, directly applied to various types of AI applications, and become users’ close assistants in life and work, answering different needs 24/7. EpiK Protocol is constantly exploring new data annotation methods and technologies to achieve this goal.

Furthermore, it is committed to building a substantial decentralized knowledge graph network, providing more prosperous and accurate knowledge to AI systems.

Finally, Ben Goertzel, EpiK Protocol’s chief advisor and world-class AI expert pointed out in the “Decentralized Knowledge Graph Manifesto”: “If we can successfully collect human data, wisdom, and understanding into a huge decentralized knowledge graph, and then publicly disseminate and provide it to AI systems with tremendous computing power, we may catalyze the next stage of human civilization evolution.”