1. Wild life animals image classification for photographers using VGG19.
- Author
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Ranjith, Durgunala, Sravan Kumar, Vanam, Chandramouli, Narsingoju, Sagar, Rachoori, Mahender, Akoju, Dhandapani, Kothandaraman, and Mendu, Mruthyunjaya
- Subjects
IMAGE recognition (Computer vision) ,ANIMAL classification ,CONVOLUTIONAL neural networks ,WILDLIFE photography ,WILDLIFE photographers - Abstract
Wildlife photography is one of the best ways to connect with nature without disturbing its habitat and is a good way to convey the importance of nature. Wildlife photography is the best way to show how beautiful nature is and the creatures within nature. Wildlife photographers capture different species. They capture thousands and lacs of images of different species. They need help finding the photos of the specie they require. Here we are trying to classify the images into separate ones based on specie. They classify the images into four classes: animals, birds, snakes, and insects. Our world may be helpful for photographers to classify their images and have them into separate folders, so they can find them easily anytime they want. We are trying to develop an image classifier using artificial intelligence. As you know, artificial intelligence is one of the best ways to recognize things automatically. We implement it with the help of convolution neural networks along with the VGG 19 algorithm. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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