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Animal target detection method based on single-order deep neural network

A deep neural network and target detection technology, which is applied in the field of animal target detection based on a single-order deep neural network, can solve problems such as heavy workload, easy counting errors, and long time consumption

Inactive Publication Date: 2021-09-14
HARBIN UNIV OF SCI & TECH
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problems of the manual counting method adopted in the existing animal breeding process, which has a large workload, takes a long time, and is prone to counting errors, and proposes an animal target detection method based on a single-order deep neural network

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  • Animal target detection method based on single-order deep neural network
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specific Embodiment approach 1

[0039] A kind of animal target detection method based on single-order deep neural network of the present embodiment, such as figure 1 As shown, the method is realized through the following steps:

[0040] Step 1. Collection of animal data samples;

[0041] The size of the data sample affects the effect of model training. The larger the data sample, the better the training effect of the target detection model. The main sources of animal data samples include online image search, video clipping, and project provision;

[0042] Step 2. Labeling of animal data samples;

[0043] The labeling of animal data samples is an important prerequisite for the generation of executable files. The more accurate the animal data samples are labeled, the accuracy of the model will be greatly improved. The labeling of animal data samples is performed manually using the LabelImg labeling tool, and the labeling target is in the original image. position and indicate the category to which it belongs,...

specific Embodiment approach 2

[0056] The difference from Embodiment 1 is that the method for detecting animal targets based on a single-stage deep neural network in this embodiment further includes the step of detecting individual animal targets in real time.

specific Embodiment approach 3

[0058] The difference from the specific embodiment 1 or 2 is that in this embodiment, a single-order deep neural network-based animal target detection method, the process of collecting animal data samples in step 1 also includes the method of data enhancement Steps to increase the data samples by 3 or 4 times, thereby increasing the number of data sets.

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Abstract

The invention discloses an animal target detection method based on a single-order deep neural network, and belongs to the field of visual detection. In the animal breeding process, an adopted manual counting method is large in workload, long in consumed time and prone to counting errors. The animal target detection method based on the single-order deep neural network comprises the steps of animal data sample collection, animal data sample labeling, VOC data set making, animal sample data set training, detection model construction, model performance adjustment and performance evaluation, and animal individual target detection in a picture by using the adjusted model. The improved animal target detection algorithm provided by the invention can effectively solve the problem of low recognition precision caused by environmental influence and animal shielding in a pasture while ensuring the detection speed, so that the animal individual can be accurately detected.

Description

technical field [0001] The invention relates to an animal target detection method based on a single-stage deep neural network. Background technique [0002] With the rapid development of image processing technology, the continuous decline of computer hardware costs and the continuous improvement of computer computing speed, computer vision technology has become an important application technology of modern animal husbandry. In recent years, more and more intelligent livestock management solutions have been proposed to help the government achieve scientific management and help herdsmen achieve better grazing management. The application research of "smart ranch" has become the focus of attention, and the management of the ranch is gradually developing in the direction of informatization and intelligence. The ranch managers can improve the information level of the ranch through the smart ranch management platform. The application of the intelligent pasture management system c...

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Application Information

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IPC IPC(8): G06K9/62G06N3/04G06N3/08
CPCG06N3/08G06N3/045G06F18/214
Inventor 房国志张智铃
Owner HARBIN UNIV OF SCI & TECH
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