15 个动物图像分类数据集

该数据集包含 15 个动物的图像文件夹，包括：熊、鸟、猫、奶牛、鹿、狗、海豚、大象、长颈鹿、马、袋鼠、狮子、熊猫、老虎和斑马，每个文件夹代表一个与文件夹名称对应的类，每个文件夹包含至少 120 张图像。所有图像大小均为 224X224，适合图像分类。图像从网络下载并使用 OpenCV 库进行预处理（调整大小和增强）。因此，该数据集可以直接用于训练，无需进一步的数据增强。

This dataset comprises image folders for 15 animal classes, namely bear, bird, cat, cow, deer, dog, dolphin, elephant, giraffe, horse, kangaroo, lion, panda, tiger, and zebra. Each folder corresponds to a class with the same name as the folder itself, and each folder contains a minimum of 120 images. All images are standardized to 224×224 pixels, making them suitable for image classification tasks. The images were downloaded from the internet and preprocessed (resized and augmented) using the OpenCV library. As a result, this dataset can be directly used for model training without additional data augmentation.

搜集汇总

背景与挑战

背景概述

该数据集是一个包含15种动物（如熊、猫、狗等）的图像分类数据集，每个类别提供至少120张已预处理的224x224图像，适合直接用于训练图像分类模型。