Cats vs Dogs Dataset: link
The Cats and Dogs dataset is a popular dataset used for training and testing machine learning models for image classification. The dataset contains 25,000 images of cats and dogs, split evenly between the two classes. The images are of varying quality and resolution, and they come from a variety of sources, including the web and user-submitted photos.
The Cats and Dogs dataset is a good choice for training and testing image classification models because it is large and diverse. The dataset also has a well-defined train/test split, which makes it easy to evaluate the performance of a model.
- MobilenetV2
- ResNet50
- DenseNet121