Butterfly Specimens

Citation Author(s):
Zhongqi
Lin
College of Information and Electrical Engineering, China Agricultural University, Beijing, 100083, China
Submitted by:
Zhongqi Lin
Last updated:
Tue, 05/17/2022 - 22:17
DOI:
10.21227/baeg-m011
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Abstract 

For effectness verification of our proposed neural network, a total of 19,368 lab-made images of butterfly specimensspanning 48 sub-species areutilizedas testing samples, while 116,208 augmented images are employed for training.

Instructions: 

In pursuit of efficiency confirmation in fine-grained visual categorization, we took 19,368 high-fidelity hand-crafted images spanning 48 butterfly sub-species as testing samples. This dataset contains images with single specimen at almost the same scales,orientations and illumination conditions. The camera used is Canon EOS 5D Mark IV and the shooting distance isfour to eight cm depending on the target size. The image format is JPEG and each one is a 24-bit color bitmap. Each image is classified into their ground truth category with the help of entomology experts. See Fig. 1 for randomly selected testing samples.

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Submitted by Theivaprakasham H on Tue, 05/03/2022 - 15:01