Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/3882
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dc.contributor.authorAthavani, Shahin-
dc.contributor.authorKhan, Amaan Ahmad (18ET09)-
dc.contributor.authorShaikh, Afridi Anwar Ali (18ET39)-
dc.contributor.authorShaikh, Saif Hisamuddin (18ET45)-
dc.date.accessioned2022-06-17T10:12:37Z-
dc.date.available2022-06-17T10:12:37Z-
dc.date.issued2022-05-
dc.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3882-
dc.description.abstractAccording to UN report on biodiversity which says that there are 1 million species are at risk of extinction. In this project , we will be implementing the use of Deep learning algorithms to detect animal and take necessary actions to save them. The proposed system in this project is a image based animal detection system based on Faster R-CNN. The project will involve the use of various resources for implementation , such as : Python , CNN , OpenCV , YOLOv3 , Google Colab , Numpy , Pandasen_US
dc.language.isoenen_US
dc.publisherAIKTCen_US
dc.subjectProject Report - EXTCen_US
dc.titleAnimal detection and classificationen_US
dc.typeProject Reporten_US
Appears in Collections:EXTC Engineering - Project Reports

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