- IR Home
- →
- Students Project Reports (UG)
- →
- EXTC Engineering - Project Reports
- →
- View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.
| 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 |
