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A Machine Learning Approach to Detect Wounded Dog
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 183 - Number 43 |
| Year of Publication: 2021 |
| Authors: Amit Lal Das, K.M.Ashikur Rahman |
10.5120/ijca2021921828
|
Amit Lal Das, K.M.Ashikur Rahman . A Machine Learning Approach to Detect Wounded Dog. International Journal of Computer Applications. 183, 43 ( Dec 2021), 1-5. DOI=10.5120/ijca2021921828
Abstract
Now, everything is automated. There are various kinds of animals around us. Some animals live with us, some have residence, some have an owner, some are in a specific area. Dogs are such kind of animal that they live with us. But many of the dogs have no owner or residence. And they cannot have a healthy life. They also get wounds in many ways but have no remedy. They live with us or around us. If they are wounded, the disease can spread by them. So we need to detect them immediately and concern the authority. So we make such kind of system which can identify a wounded dog. We use a dataset of 409 data for this purpose in yolov3.
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