| CPC G06F 18/40 (2023.01) [G06F 18/214 (2023.01); G06F 18/24 (2023.01); G06T 7/0002 (2013.01); G06V 10/235 (2022.01); G06V 10/248 (2022.01); G06V 10/40 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/30168 (2013.01); G06T 2207/30204 (2013.01)] | 17 Claims |

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1. An image data classification method applied to a computer device, the method comprising:
distributing image data to n users;
obtaining n marks corresponding to the image data by collecting the mark made by each of the n users on the image data;
determining target marks from the n marks, and calculating a rate of the target marks, comprising: obtaining a plurality of groups by identifying same marks from the n marks and classifying the same marks into a same group; counting a total number of marks comprised in each of the plurality of groups; determining a target group from the plurality of groups, and setting the marks comprised in the target group as the target marks, the target group is a group corresponding to a largest total number of marks among the plurality of groups; and calculating a rate C of the target markers based on the total number of the target markers comprised in the target group and a value of n, C=(m/n)*100%, m represents the total number of the target marks comprised in the target group; and
determining a quality of the image data according to the rate of the target marks.
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