Automatic target detection platform

Abstract

The invention provides an automatic target detection platform comprising a data set management module used for creating and managing a data set, a model training module used for training a to-be-trained model according to the data set to generate a first target detection model, a model verification module used for carrying out online verification on the first target detection model so as to generate a second target detection model, and a model publishing module used for publishing the second target detection model. According to the automatic target detection platform, the technical threshold of a deep learning target detection algorithm can be greatly reduced, and the entry difficulty is reduced.

Description

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AI Technical Summary

Benefits of technology

This technology helps detect objects accurately by analyzing data from images captured through cameras or other sensors that capture them for analysis purposes. It makes it easier than traditional methods because there are no specific rules needed beforehand which make this process difficult if done manually.

Problems solved by technology

The problem addressed by this patented technology relates to improving object detection systems that use machine-learning techniques like convolutional neural networks (CNNs). These models are trained with data from large amounts of training samples collected over time or during operation. However, these methods require advanced computing resources beyond what would be necessary if they were developed without being fully controlled through experience alone. This makes them hard to start up quickly due to their complexity and limited applicability range within specific settings where there may have many potential applications.

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