Pre-labeling method based on target detection and storage medium

Abstract

The invention discloses a pre-labeling method based on target detection and a storage medium, and the method comprises the following steps: S1, carrying out the data discrimination of small-scale original data; s2, labeling the original data subjected to data discrimination to serve as training data; s3, training a basic target detection model by adopting the training data to obtain a depth model, and differentiating the depth model into a pre-labeling model and a sensor model; s4, performing pre-labeling on subsequent large-scale original data through the pre-labeling model to form labeled training data; and S5, inputting the labeled training data into the pre-labeling model and the sensor model, and carrying out model lifting training. According to the method, the problems that the labor cost of common target detection labeling is too high and the adaptive capacity of a training model is poor in an actual scene are solved.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence and automatic driving, and more particularly relates to a pre-marking method and storage medium based on target detection. Background technique [0002] Artificial intelligence is a theory, method, technology and application system that uses digital computers or machines controlled by digital computers to simulate, extend and expand human intelligence, perceive the environment, acquire knowledge, and use knowledge to obtain the best results. In other words, artificial intelligence is a branch of computer science that attempts to understand the nature of intelligence and produce a new type of intelligent machine that can respond in a manner similar to human intelligence. Artificial intelligence is to study the design principles and implementation methods of various intelligent machines, so that the machines have the functions of perception, reasoning and decision-making. Research i...

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Problems solved by technology

[0007] In order to solve the above problems, the present invention provides a pre-labeling method and storage medium based on target detection, which solves the problems of high labor costs and poor adaptability of training models in actual scenarios.

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