Animal Breed Classification and Prediction Using Convolutional Neural ...
Animal Breed Classification and Prediction Using Convolutional Neural Network Primates as a Case Study Abstract: Primates are very significant in various environment functions as well as in human evolution, cultures, and many religions in society.
A deep Convolutional Neural Network was trained to classify various primate breeds and predict the breed of a particular test image and these predictions are very helpful in identifying various pr ape breeds and protecting and safeguarding those breeds from extinction. Primates are very significant in various environment functions as well as in human evolution, cultures, and many religions in ...
Animal Breed Classification and Prediction Using Convolutional Neural ...
The animal breeds are accurately classified using Multi-part Convolutional Neural Network with a hybrid feature extraction framework of Fisher Vector based Stacked Autoencoder.
This paper suggests using Deep Convolutional Neural Network (CNN) to detect and classify the animals (vertebrate classes) in digital images to show that the proposed algorithm has a positive effect on overall animal classification performance.
Animal Breed Classification and Prediction Using Convolutional Neural ...
It is our responsibility to safeguard the primate breeds once again introducing primates into their natural surroundings. In this paper, a deep Convolutional Neural Network was trained to classify various primate breeds and predict the breed of a particular test image. 10 monkey species dataset from the Kaggle data science community was used.
This document describes a study that uses a convolutional neural network (CNN) to classify and predict breeds of primates using a dataset of 10 monkey species images. The CNN model was trained on the image dataset and achieved 80.5% accuracy on the training set and 73.53% accuracy on the validation set after 20 epochs of training. The trained model was able to accurately predict the primate ...
Overview of Animal Breed Classification And Prediction Using Convolutional Neural
This project is a Deep Learning based Animal Image Classification System that uses Convolutional Neural Networks (CNN) to classify images of animals such as Dog, Cat, Tiger, Lion, Elephant, Zebra, Panda, Bear, and more. It is built using TensorFlow, Keras, and Streamlit and includes an interactive web app where users can upload images and get real-time predictions with confidence scores.
The Convolutional Neural Network model that I will make, will be classifying an animal breed among 37 different breeds of dog and cat based on its processing of the image and classify it to the appropriate breed . In the end, the CNN model should predict the top3 breed with the probability of breed based on its image .
Classification of Dog Breeds Using Convolutional Neural Network Models ...
Traditional image classification methods primarily rely on extracting simple geometric features, while current convolutional neural networks (CNNs) are capable of learning high-level semantic features. However, the diversity of dog breeds continues to pose a challenge to classification accuracy.
The research on Animal Species Classification using Convolutional Neural Networks (CNNs) addressed challenges such as manual identification methods, limited dataset sizes, image occlusions, and variations in lighting conditions. The study aimed to investigate the CNN algorithm for Animal Species Classification , develop a CNN based classification system, and evaluate the system's accuracy in ...