T/SHLY 1005-2024 Guidelines for building a sample database of image data for artificial intelligence recognition of forest management inspection

Scope

Main technical content: During the development process, this annotation standard mainly refers to the following documents: "Guidelines for Standardization Work - Part 1: Structure and Drafting Rules of Standardization Documents", GB/T 41867 "Information Technology - Artificial Intelligence - Terminology", GB/T 17798 "Geospatial Data Sample Exchange Format", LY/T 2930 "Standard Specifications for Forestry Data Sample Collection", etc. The main indicators are described as follows: 1. **Construction Content**: It mainly proposes the construction framework of the image data sample library, which includes three parts: defining requirements, establishing the data sample library, and managing the data sample library. - **Defining Requirements**: It mainly includes three parts: data sample classification, data sample collection, and data sample annotation, and specifies their standard principles. - **Data Sample Classification**: It is mainly determined by the actual needs of regulatory authorities, taking into account the basic principles of computer vision algorithms and the results of 5 rounds of algorithm iteration. The data samples are sorted according to the classification principles and divided into categories according to specific work scenarios. - **Data Sample Collection**: It summarizes the collection experience in different seasons, regions, and methods, including pre-collection preparation, data sample types, collection methods, metadata recording, and data sample formats. - **Data Sample Annotation**: It mainly follows the principles of deep learning algorithms and actual algorithm model training and iteration experience to standardize the basic process and quality control methods of data annotation, and summarizes the roles, tools, objects, quality, and precautions involved to control the quality of data annotation and improve the accuracy of model training. - **Establishing the Data Sample Library**: It mainly includes establishing

Development Information

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