Classification of Dog and Cat Images using the CNN Method

Blind people can be defined as those who are unable to see objects or pictures around them with their eyes. This inability becomes an issue for when dealing images in front of them. These problems lead the novelty this study that is recognize blind CNN algorithm. Dogs and cats were used study. object recognitions Deep Learning, a relatively new science field machine learning. learning works like human brain's ability object. In study, dog cat. 3 types data, namely training, validation, testing data. The data training consisted total 1000 cat images. Data validation 500 CCN architecture employed convolution layers. layer was 1 using 16 filters kernel size 3x3, second 32 3x3 third 64 3x3. While 51dog 27 method analyze image CNN. input 150x150 pixels channels, R, G, B. classification went through performance test Confusion Matrix it obtained 45% precision, recall f1-score. From these results concluded accuracy values should improved.