Open AccessAnimal Classification Using CNN with VGG-16 Architecture
Author(s) -
Samiya Khan,
Sanjana Singh,
Sadaf Almas,
Prof. Abdul Razzaque
Publication year - 2022
Publication title -
international journal of advanced research in science, communication and technology
Language(s) - English
Resource type - Journals
ISSN - 2581-9429
DOI - 10.48175/ijarsct-3240
Subject(s) - task (project management) , computer science , artificial intelligence , architecture , animal species , affect (linguistics) , machine learning , cognitive psychology , pattern recognition (psychology) , computer vision , communication , psychology , biology , geography , zoology , engineering , archaeology , systems engineering
Proficient and solid observing of wild animals right at their habitat is fundamental. This venture fosters a calculation to distinguish the animals in untamed life. Since there are enormous number of various animals physically recognizing them can be a troublesome task. This calculation orders animals in light of their pictures so we can screen them all the more effectively. Animal recognition and grouping can assist with forestalling creature vehicle mishaps, follow animal and forestall robbery. This can be accomplished by applying powerful profound learning algorithms. It shows that the proposed procedure positively affect arrangement exactness.