kavishsanghvi/fauna-image-classification-using-convolutional-neural-network
Convolutional neural network for classification of animal images on Animal-10 dataset
This project helps ecologists and researchers quickly identify animals in images taken from dense forest environments. You input animal photographs, and the system outputs classifications like 'butterfly,' 'cat,' or 'elephant,' along with metrics on classification accuracy. This tool is designed for zoologists and conservation scientists studying wildlife and habitats.
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Use this if you need an automated way to classify animal images to aid in ecological studies or habitat monitoring.
Not ideal if you need to classify animals not present in the Animal-10 dataset (Butterfly, Cat, Chicken, Cow, Dog, Elephant, Horse, Sheep, Spider, and Squirrel).
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Last pushed
Oct 31, 2020
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