Hoh Xil Tibetan antelope detection method based on convolutional neural network
A convolutional neural network and detection method technology, applied in the field of detection of Tibetan antelopes in Hoh Xil, can solve problems such as the inability to accurately count the distribution of Tibetan antelopes, the inability to distinguish between male and female Tibetan antelopes, and the manual operation of Tibetan antelope populations. Achieve the effect of fast detection speed, good universality and good detection effect
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[0033] The present invention will be described in further detail below in conjunction with the accompanying drawings.
[0034] refer to figure 1 , the concrete implementation steps of the present invention are as follows:
[0035] Step 1, construct the training data set.
[0036] (1a) Collect a number of Hoh Xil Tibetan antelope image data under different scenes, different shooting angles, different light changes and weather conditions, and the size of the image is 1920*1080;
[0037] (1b) Perform data enhancement on the image data in (1a) above, including rotation, translation, scaling, noise perturbation and color transformation, to increase the number of training samples;
[0038] (1c) Use the image labeling tool LabelImg to label the image collected above and the Tibetan antelope image obtained by data enhancement. The labeling effect is as follows figure 2 As shown; at the same time, the coordinates, width, height and category information of the labeled Tibetan antelo...
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