2 METHOD FOR SECONDARILY INSPECTING FOR CASE ESTIMATED AS NEGATIVE INSPECTION OF CROWDSOURCING BASED PROJECT FOR ARTIFICIAL INTELLIGENCE TRAINING DATA GENERATION

摘要

A secondary inspection method is provided for the estimated cases of fraudulent inspection of crowdsourcing-based projects for generating artificial intelligence learning data. The method is a step of assigning a plurality of work results of a crowdsourcing-based project to a plurality of inspectors and requesting to perform inspection, receiving a plurality of inspection results for the plurality of work results from the plurality of inspectors as passing or rejecting the inspection. Step, based on the plurality of inspection results, calculating the rejection rate of each inspector, the continuity of each inspector's initial inspection pass, and the inspection time required for each work result, among the plurality of inspectors, the average rejection of all inspectors The step of selecting an inspector (hereinafter, referred to as the first inspector) with a lower rejection rate than the rate, and based on the inspection result of the selected first inspector, extracting one or more of the first inspection passes by the first inspector. And performing a second inspection on the estimated negative inspection case.