Machine Learning Approach for Bird Detection

dc.contributor.author	Mashuk, Farhan
dc.contributor.author	Samsujjoha
dc.contributor.author	Sattar, Abdus
dc.contributor.author	Sultana, Nahida
dc.date.accessioned	2022-04-18T04:43:16Z
dc.date.available	2022-04-18T04:43:16Z
dc.date.issued	2021-03-31
dc.identifier.uri	http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/7900
dc.description.abstract	The Artificial Intelligence has been observing a memorial heightening in bridging the gap between the competence of human being and device. The progress in Computer Vision with Deep Learning has been established and is becoming better with time, essentially, over one special algorithm - a Convolutional Neural Network. Here, we use CNN algorithm to recognize the image. Convolutional Neural Network is a Deep Learning algorithm which can take image as an input, allocate priority in different object to Figure & capable of differentiating one from the other. Our research contains 95.52% validation accuracy. This approach obtained from the experimentation will help to identify a bird from any picture.	en_US
dc.language.iso	en_US	en_US
dc.publisher	2021 Third International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE	en_US
dc.subject	Machine learning	en_US
dc.subject	Bird detection	en_US
dc.subject	CNN	en_US
dc.subject	Deep Learning	en_US
dc.subject	Image recognition	en_US
dc.title	Machine Learning Approach for Bird Detection	en_US
dc.type	Article	en_US