The dataset contains 15 animal image folders, including: bear, bird, cat, cow, deer, dog, dolphin, elephant, giraffe, horse, kangaroo, lion, panda, tiger and zebra. Each folder represents a class corresponding to the folder name, and each folder contains at least 120 images. All images are 224X224 in size, which is suitable for image classification. The images are downloaded from the Internet and preprocessed (resized and enhanced) using the OpenCV library. Therefore, the dataset can be used directly for training without further data enhancement.