Target detection method and device for shellfish images

Abstract

The embodiment of the invention provides a target detection method and device for shellfish images. The target detection method comprises the following steps: acquiring a to-be-detected target shellfish image; detecting the target shellfish image based on the trained shellfish image detection model to obtain a target detection result of the target shellfish image; , wherein the trained shellfish image detection model is constructed by replacing a VGG16 network in an SSD framework with a MobileNet network and is obtained by training sample shellfish image marked with shellfish species; the shellfish local feature extraction method based on the MobileNet network is characterized in that the shellfish local feature extraction method based on the MobileNet network is adopted, and is obtained by training shellfish images marked with shellfish types, and a residual attention mechanism is arranged between the MobileNet network and the prediction network, so that the local feature acquisition capability is improved. According to the embodiment of the invention, an SSD target detection basic framework is adopted; a shellfish image detection model is constructed by combining a MobileNet lightweight network, so that shellfish images are detected, shellfish types in the shellfish images can be quickly identified, compared with an existing shellfish detection method, the shellfish image detection method has higher detection efficiency and accuracy, and technical feasibility is provided for shellfish image detection deployed by a mobile terminal.

Description

technical field [0001] The invention relates to the technical field of deep learning, in particular to a target detection method and device for shellfish images. Background technique [0002] Aquatic products represented by marine shellfish are rich in protein and vitamins, and have the characteristics of low fat and good nutritional balance. They have become the main source of people's intake of high-quality animal protein. The vast consumer market has promoted the healthy, stable and sustainable development of my country's shellfish farming industry, and played an important role in optimizing the dietary structure of residents, promoting economic development and increasing the income level of practitioners. [0003] As an important part of the agricultural economy, marine shellfish has the characteristics of various types and complex characteristics. The traditional human-based detection and recognition operations for shellfish are mostly based on manual extraction of cont...

AI Technical Summary

Problems solved by technology

At present, target detection algorithms based on deep learning methods have achieved certain results in academia and industry, but there is still little research in the field of agriculture. In the existing target detection methods, due to the complex network structure, the The hardware computing capability is high, and it cannot be deployed on the mobile terminal. There are problems such as low detection efficiency and low accuracy, and it is difficult to meet market demand.

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