Ore picture labeling method and system based on professional management of labeling person

A professional and ore-based technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve the problems of labeling efficiency and labeling result evaluation, and it is difficult to guarantee the accuracy of labeling, so as to reduce the difficulty of manual labeling, The effect of shortening training time and improving accuracy

Pending Publication Date: 2020-07-14
TIANJIN MEITENG TECH CO LTD
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Problems solved by technology

It is difficult for ordinary people to guarantee the accuracy of labeling due to limited experience and professional knowledge. However, it is difficult for professionals to label ore-like image samples and face two major problems: labeling efficiency and labeling result evaluation.

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  • Ore picture labeling method and system based on professional management of labeling person
  • Ore picture labeling method and system based on professional management of labeling person
  • Ore picture labeling method and system based on professional management of labeling person

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Embodiment Construction

[0046] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0047] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art wi...

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Abstract

The invention provides an ore picture annotation method and system based on annotator professional degree management. The method comprises: adopting a pre-constructed ore annotation model to annotatetarget ore in a sample picture, and then obtaining a first annotation result; obtaining a second annotation result according to the plurality of annotator weights and a manual annotation result of theplurality of annotator clients for the target ore in the sample picture; obtaining a labeler fitting hit rate according to the second labeling result, dividing the profession degree grade of each labeler according to the labeler fitting hit rates of the plurality of labelers so that the profession degree of the labeler can be objectively evaluated, and setting a labeler weight according to the profession degree grade of the labeler, thereby improving the accuracy of the labeling result; and adjusting the ore labeling model according to the man-machine labeling overlap ratio obtained by the first labeling result and the second labeling result. According to the method, the professionality of the annotator can be objectively evaluated, the annotation result is judged according to the influence of the professionality of the annotator, the accuracy of the ore picture annotation result is ensured, and the annotation efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of ore picture classification, in particular to a method and system for marking ore pictures based on the professional degree management of markers. Background technique [0002] When mining ore, it is necessary to separate ore from waste rock, and image recognition of ore is an important means to improve the efficiency of ore mining and ensure the quality of ore. Accurate marking of ores is an important prerequisite for realizing ore image recognition. At present, when training deep learning models, ore labeling mainly relies on manual labeling, and ore-like image samples are a very challenging task for manual labeling. It is difficult for ordinary people to guarantee the accuracy of labeling due to limited experience and professional knowledge. However, it is difficult for professionals to label ore-like image samples and face two major problems: labeling efficiency and labeling result evaluation....

Claims

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Application Information

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IPC IPC(8): G06K9/62G06N3/04
CPCG06N3/045G06F18/241G06F18/214Y02P90/30
Inventor 冯化一谭琦
Owner TIANJIN MEITENG TECH CO LTD
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