Animal detection and classification

Simple item page
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.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.identifier.urihttp://localhost:8080/xmlui/handle/123456789/3882
dc.language.isoenen_US
dc.publisherAIKTCen_US
dc.subjectProject Report - EXTCen_US
dc.titleAnimal detection and classificationen_US
dc.typeProject Reporten_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
18ET09.pdf
Size:
2.39 MB
Format:
Adobe Portable Document Format
Description:
Black Book
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download
Collections
EXTC Engineering - Project Reports