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. Out of more than 500 primate species over 60% of primate species are extinct because of various reasons such as hunting, habitat loss human activities, etc. 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 dataset consists of 10 breeds of primates labeled n0 to n9. The model was trained with different epochs, works with an accuracy of 0.8050 on the training set and 0.7353 on the validation set with epochs 20. The trained model predicted the primate breeds accurately. These predictions are very helpful in identifying various primate breeds and protecting and safeguarding those breeds from extinction. In future this research can be extended to automate the process for identifying the primate breeds by embedding the process into IoT.