T/CES 208-2023 Active Group standards

T/CES 208-2023 Power visual inspection algorithm evaluation method

T/CES 208-2023 Power visual inspection algorithm evaluation method

Publish Date: 2023-09-08 Implement Date: 2023-09-11 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/CES 208-2023
Standard Type: Group standards
Standard Status: Active
is_force_gb: no
CCS Name: -
ICS Name: Control equipment for power systems
Publish Date: 2023-09-08
Implement Date: 2023-09-11

Scope

Scope: This document specifies the method of calculating indicators for vision detection algorithms in power scenarios, the quality requirements for evaluation datasets, the process of model testing, and the process of model quality evaluation. By conducting quantitative and comparable tests on power vision detection algorithms, it provides a quantitative reference basis for the evaluation of vision detection models in various business fields of power, including R&D, network deployment, and operation. This document is applicable to the evaluation of artificial intelligence models used for detection, segmentation, or classification of visible light scene target images, infrared light scene target images, or ultraviolet light scene target images in power production scenarios. It is mainly used to evaluate visual detection models of equipment bodies or surrounding environments in professional intelligent inspection services such as transmission, substation, and distribution, as well as visual detection models of illegal behaviors, device violations, or management violations in power production site intelligent recognition services, etc. Main technical content: This standard is drafted in accordance with the provisions of GB/T 1.1-2020 "Guidelines for Standardization - Part 1: Structure and Drafting Rules for Standardization Documents". It follows the principles of scientificity, advancedness, and economy, adheres to the principle of seeking truth from facts, and is based on the various defect recognition aspects of artificial intelligence algorithms in the power field. It complies with relevant national laws and regulations and meets the requirements of group standards. The purpose is to standardize the quality evaluation methods for power vision detection algorithms, clarify the basic principles of power vision detection algorithm evaluation based on image recognition technology, model functionality, and efficiency, standardize the evaluation process and functional

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