Identification of Reptile Species Using Convolutional Neural Networks (CNN)

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

Olvy Diaz Annesa¹  Condro Kartiko¹  Agi Prasetiadi¹ 

[1] Institut Teknologi Telkom Purwokerto;

关键词: reptile;    species identification;    convolutional neural network;    data augmentation;    python;   

DOI  :  10.29207/resti.v4i5.2282

来源: DOAJ

【 摘 要 】

Reptiles are one of the most common fauna in the territory of Indonesia. quite a lot of people who have an interest in knowing more about this fauna in order to increase knowledge. Based on previous research, Deep Learning is needed in particular the CNN method for computer programs to identify reptile species through images. This reseacrh aims to determine the right model in producing high accuracy in the identification of reptile species. Thousands of images are generated through data augmentation processes for manually captured images. Using the Python programming language and Dropout technique, an accuracy of 93% was obtained by this research in identifying 14 different types of reptiles.

【 授权许可】

Unknown