Classification Efficiency of Pre-Trained Deep CNN Models on Camera Trap Images

Classification Efficiency of Pre-Trained Deep CNN Models on Camera Trap Images

This paper presents the evaluation of 36 convolutional neural network (CNN) models, which were trained on the same dataset (ImageNet). The aim of this research was to evaluate the performance of pre-trained models on the binary classification of images in a “real-world” application. The classificati...

Bibliografske podrobnosti
Main Authors:	Adam Stančić, Vedran Vyroubal, Vedran Slijepčević
Format:	Article
Jezik:	English
Izdano:	MDPI AG 2022-01-01
Serija:	Journal of Imaging
Teme:	classification CNN efficiency pre-trained camera trap
Online dostop:	https://www.mdpi.com/2313-433X/8/2/20

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