A data annotation crowdsourcing platform system based on an intelligent contract and a crowdsourcing data annotation method

Abstract

The invention relates to the technical field of block chains, intelligent contracts, data crowdsourcing, machine learning and deep learning, in particular to a data annotation crowdsourcing platform system based on an intelligent contract and a crowdsourcing data annotation method. The crowdsourcing data annotation method comprises the steps of separating the data crowdsourcing annotation task from the annotation result quality evaluation task, evaluating annotation data through the trained model, randomly selecting a plurality of annotation data quality inspectors for crowdsourcing evaluation, and determining the data annotation quality by integrating a plurality of evaluation modes. The whole process of the crowdsourcing task is written into the block chain through the block chain infrastructure, the mutual trust of all parties participating in crowdsourcing is achieved, the integrity and the non-tamper performance of behaviors are guaranteed, the data labeling quality is improved toa certain degree, and then the model training efficiency and the model prediction accuracy are improved.

Description

technical field [0001] The present invention relates to the technical fields of blockchain, smart contract, data crowdsourcing, machine learning and deep learning, and in particular to a smart contract-based data labeling crowdsourcing platform system and a crowdsourcing data labeling method. Background technique [0002] Blockchain technology, also known as distributed ledger technology, is a technical solution for decentralized trust and collective maintenance of distributed ledgers. It uses block chain data structures to verify and store data, and its essence is composed of multiple nodes Collective participation realizes a distributed database system with non-tamperable data and credible calculation results through multi-party storage and multi-party computing. Blockchain is not a single technology, but the result of the integration of multiple technologies. Using blockchain technology to maintain a reliable and difficult-to-tamper ledger record can reduce the risk of tr...

AI Technical Summary

Problems solved by technology

[0006] The emergence of the crowdsourcing model has brought new possibilities, greatly improving the efficiency of task execution and greatly reducing costs. However, due to the large number of workers participating in crowdsourcing labeling, the professional background and work ability are uneven, and the quality of labeling is also low. There is no guarantee, which also leads to the training of the final model not achieving the expected effect

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