A kind of AI model iterative update method, electronic device and storage medium
An iterative update and model technology, applied in the field of computer information, can solve the problem of low efficiency of AI model update and optimization, and achieve the effect of solving the update optimization efficiency, reducing labor costs, and improving iterative update efficiency
Active Publication Date: 2022-07-01
WUHAN ZHONGHAITING DATA TECH CO LTD
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[0004] In view of this, an embodiment of the present invention provides an AI model iterative update method, electronic equipment, and a storage medium to solve the problem of low efficiency in updating and optimizing existing AI models
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[0023] In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only some, but not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative work fall within the scope of protection of the present invention. The examples are only used to explain the present invention, not to limit the scope of the present invention.
[0024] The term "comprising" and other similar meaning expressions in the description or claims of the present invention and the above-mentioned drawings are intended to cover non-exclusive inclusion, such as a process, method or syste...
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The invention provides an AI model iterative update method, electronic equipment and storage medium. The method includes: importing original high-precision map data results data into a temporary database in batches, and adding the original high-precision map to the data table of the temporary database. The associated information field related to the result data; read the high-precision map result data in the temporary database, and query the correlation relationship between the high-precision map result data and the original high-precision map data result data; calculate the unique identifier of the high-precision map result data through the hash algorithm, based on The unique identifier and association relationship are stored in the Redis cache through key-value association; after the association is completed, the AI sample data set is generated based on the result data of the associated batch; the AI model is optimized and updated based on the AI sample data set, and automatically generated according to the AI model High-resolution map data for further iterative updates. This solution solves the problem of low efficiency of existing iterative update methods, and can improve the accuracy of AI models and the efficiency of update optimization.
Description
technical field [0001] The invention relates to the technical field of computer information, and in particular, to an AI model iterative update method, an electronic device and a storage medium. Background technique [0002] In the modern map surveying and mapping industry, AI-based data detection and analysis technology has become increasingly mature, and the identification and analysis of map data through AI models, as well as the production and updating of high-precision maps, play an important role in practical applications. However, with the advancement of technology and market demand, higher requirements have been placed on the accuracy of AI models. [0003] At present, in order to ensure the accuracy of the AI model, it is necessary to continuously optimize the model. The traditional method can improve the model accuracy to a certain extent by collecting a large number of samples to train the model and test or improve the model. However, with the complexity and div...
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IPC IPC(8): G06F16/22G06F16/24G06F16/29G06N20/00
CPCG06F16/29G06F16/24G06F16/22G06N20/00
Inventor 彭金华陈岩刘圆陈明宇刘奋
Owner WUHAN ZHONGHAITING DATA TECH CO LTD