Cats-vs-Dogs-classification-using-CNN

Using a CNN, automated pet doors can be designed to recognize whether it's a cat or a dog approaching, allowing only authorized pets to enter the house while keeping strays or other animals out. And also In animal shelters or veterinary clinics, CNN-based classifiers can be used to quickly identify whether an animal is a cat or a dog. This can help in managing records, tracking lost pets, and facilitating the adoption process. One of the major problem was that of image classification, which is defined as predicting the class of the image. Cat and Dog image classification is one such example of where the images of cat and dog are classified. Deep learning works like the human brain's ability to recognize an object. This paper aims to incorporate state-of-art technique for object detection with the goal of achieving high accuracy. we employ Convolutional Neural Networks (CNNs) to address the challenge of distinguishing between images of dogs and cats. DATASET: you can download the data set from this link: https://drive.google.com/drive/folders/1-CGOAkcQSjY39-BDG_GLOTgVDG-rEQBH?usp=drive_link paper Presentation on this project: https://drive.google.com/file/d/1-91EQA_F6r6UkHeJDF-H8qOQy6Jqytjm/view?usp=drive_link