cats_vs_dogs 猫狗图像数据集

Cats vs. Dogs 是 Kaggle 大数据竞赛某一年的一道赛题，利用给定的数据集，用算法实现猫和狗的识别。 该数据集包含了训练集和测试集，训练集中猫和狗的图片数量都是 12,500 张且按顺序排序，测试集包含猫和狗混合乱序图片一共 12,500 张。

Cats vs. Dogs is a competition task from a past edition of the Kaggle large-scale data competition, where participants are required to develop image recognition algorithms to distinguish between cats and dogs using the provided dataset. The dataset is divided into a training set and a test set. The training set contains 12,500 images of cats and 12,500 images of dogs, sorted in a fixed sequential order. The test set consists of 12,500 mixed, randomly shuffled images of both cats and dogs.

搜集汇总

背景与挑战

背景概述

cats_vs_dogs猫狗图像数据集来源于Kaggle竞赛，包含25,000张训练集图片（猫狗各12,500张）和12,500张测试集图片，用于图像分类和目标识别任务。数据集大小为786.68 MB，适用于教育和信息目的。