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DC Field | Value | Language |
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dc.contributor.author | Tripathi, Akshat | - |
dc.contributor.author | Sharma, Vipul Kumar [Guided by] | - |
dc.date.accessioned | 2023-09-15T05:09:23Z | - |
dc.date.available | 2023-09-15T05:09:23Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://ir.juit.ac.in:8080/jspui/jspui/handle/123456789/9996 | - |
dc.description | Enrollment No. 191392 | en_US |
dc.description.abstract | This project aims to accomplish a task popularly known as Camouflaged Object Detection also abbreviated as COD, in which we aim to identify objects that are present into similar surroundings. Due to native similarities between the target object and background make, Camouflaged Object Detection is far more difficult to accomplish than basic object detection. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | Jaypee University of Information Technology, Solan, H.P. | en_US |
dc.subject | Object detection | en_US |
dc.subject | Deep learning | en_US |
dc.subject | Artifical Neuron | en_US |
dc.subject | Yolo | en_US |
dc.title | Object Detection in Camouflage Environment using Deep Learning | en_US |
dc.type | Project Report | en_US |
Appears in Collections: | B.Tech. Project Reports |
Files in This Item:
File | Description | Size | Format | |
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Object Detection in Camouflage Environment using Deep Learning.pdf | 2.09 MB | Adobe PDF | View/Open |
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