DSpace JSPUI
DSpace preserves and enables easy and open access to all types of digital content including text, images, moving images, mpegs and data sets
Learn More
Please use this identifier to cite or link to this item:
http://localhost:8080/xmlui/handle/123456789/3882| Title: | Animal detection and classification |
| Authors: | Athavani, Shahin Khan, Amaan Ahmad (18ET09) Shaikh, Afridi Anwar Ali (18ET39) Shaikh, Saif Hisamuddin (18ET45) |
| Keywords: | Project Report - EXTC |
| Issue Date: | May-2022 |
| Publisher: | AIKTC |
| 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 |
| URI: | http://localhost:8080/xmlui/handle/123456789/3882 |
| Appears in Collections: | EXTC Engineering - Project Reports |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 18ET09.pdf Until 2025-06-30 | Black Book | 2.45 MB | Adobe PDF | View/Open Request a copy |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.