عنوان انگلیسی مقاله:
Animal species image classification
ترجمه فارسی عنوان مقاله:
طبقه بندی تصویر گونه های جانوری
Sciencedirect - Elsevier - Materials Today: Proceedings, Corrected proof: doi:10:1016/j:matpr:2021:02:771
Animal species image classification is used in forests to classifiy animals in real time. In past, many computer vision techniques were introduced but they couldn’t fulfill the requirements as the accuracy got depreciated since the technology advanced. But as per the requirement many techniques were introduced where accuracy got drastically improved where we could perform the image classification, image recognition and segmentation. This project aims to introduces efficient technique for animal species image classification with the goal of achieving good amount of accuracy. Convolutional neural network is been engineered for the image classification process. Bottleneck features are trained and synched to the pretrained architecture to achieve high accuracy. Numerous deep learning architectures are com- pared with the dataset.© 2021 Elsevier Ltd. All rights reserved. Selection and peer-review under responsibility of the scientific committee of the Emerging Trends in Materials Science, Technology and Engineering.
Keywords: Computer vision | Convolutional neural network | Bottleneck features | Deep learning architectures