Classification of Canine Skin Disease using Deep Learning Algorithms

Classification of Canine Skin Disease using Deep Learning Algorithms

Naresh Thoutam¹, Anuja Kumari², Ishika Mandloi³, Samruddhi Sonule⁴, Vrukshali Torawane⁵

¹Professor, Department of Computer Engineering, Sandip Institute of Technology and Research Center, Nashik, India.

²Student, Department of Computer Engineering, Sandip Institute of Technology and Research Center, Nashik, India.

³Student, Department of Computer Engineering, Sandip Institute of Technology and Research Center, Nashik, India.

⁴Student, Department of Computer Engineering, Sandip Institute of Technology and Research Center, Nashik, India.

⁵Student, Department of Computer Engineering, Sandip Institute of Technology and Research Center, Nashik, India.

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Abstract - Dogs were the most common pet in India in January 2022, with a share of 68 percent, a share of 34 percent cats are the second-most popular pet, according to a Rakuten Insight poll on pet ownership. Canine interaction has been identified as a risk factor for several zoonotic illnesses caused by bacteria, fungi, parasites, and viruses through direct or indirect contact. Additionally, the doctor needs to have a list of infection diagnoses and routinely inquire about the existence of dogs in the home and their health. We intend to deploy a machine learning model to decrease the time and effort necessary for establishing a consistent infection because these procedures take time and a high level of skill set. We studied and compared various approaches researchers have used in similar situations.

Key Words:  Dermatophytosis, zoonoses, image classification, deep learning,  MobileNet, CNN, KNN, LSTM, MLP.