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Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Athavani, Shahin | - |
dc.contributor.author | Khan, Amaan Ahmad (18ET09) | - |
dc.contributor.author | Shaikh, Afridi Anwar Ali (18ET39) | - |
dc.contributor.author | Shaikh, Saif Hisamuddin (18ET45) | - |
dc.date.accessioned | 2022-06-17T10:12:37Z | - |
dc.date.available | 2022-06-17T10:12:37Z | - |
dc.date.issued | 2022-05 | - |
dc.identifier.uri | http://localhost:8080/xmlui/handle/123456789/3882 | - |
dc.description.abstract | According 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 , Pandas | en_US |
dc.language.iso | en | en_US |
dc.publisher | AIKTC | en_US |
dc.subject | Project Report - EXTC | en_US |
dc.title | Animal detection and classification | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | EXTC Engineering - Project Reports |
Files in This Item:
File | Description | Size | Format | |
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18ET09.pdf Until 2025-06-30 | Black Book | 2.45 MB | Adobe PDF | View/Open Request a copy |
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