Datasets of PCMDA

This dataset comprises three benchmarks: Digits-5, PACS, anf office_caltech_10. Digits-5 is a set of handwritten digit images sampled from five domains: MNIST, MNIST-M, USPS, SynthDigits, and SVHN. All sample are images of numbers ranging from 0 to 9. PACS is composed of four different datasets, each representing a different visual domain: Photo, Art Painting, Cartoon, and Sketch. It contains 9,944 images, including 1,792 real photos, 2,048 art paintings, 2,344 cartoon images, and 2,760 sketches. Each image is labeled with one of seven categories: dog, elephant, giraffe, guitar, horse, house, and person. Office_caltech_10 is a commonly used domain adaptation dataset, which consists of four domains: Amazon, Webcam DSLR, and Caltech. It contains 9,000 images, with 2,533 images from Amazon, 795 images from Webcam, 498 images from DSLR, and 4,174 images from Caltech. Each image is labeled with one of ten categories, including bike, calculator, headphone, laptop, motorcycle, mug, projector, skateboard, stapler, and umbrella.本数据集包含三个基准测试集：Digits-5、PACS以及Office-Caltech-10。Digits-5是从五个领域采集的手写数字图像数据集，涵盖MNIST、MNIST-M、USPS、SynthDigits与SVHN五个数据源，所有样本均为0至9的数字图像。PACS由四个对应不同视觉领域的数据集组成，分别为照片（Photo）、艺术绘画（Art Painting）、卡通（Cartoon）与素描（Sketch）。该数据集总计包含9944张图像，其中实拍照片1792张、艺术绘画作品2048张、卡通图像2344张、素描作品2760张，每张图像均被标注为7个类别之一：狗、大象、长颈鹿、吉他、马、房屋与人物。Office-Caltech-10是一款常用的领域自适应数据集，包含Amazon、Webcam、DSLR与Caltech四个领域，该数据集共计9000张图像，其中Amazon来源2533张、Webcam来源795张、DSLR来源498张、Caltech来源4174张，每张图像均被标注为10个类别之一，包括自行车、计算器、耳机、笔记本电脑、摩托车、马克杯、投影仪、滑板、订书机与雨伞。

搜集汇总

背景与挑战

背景概述

该数据集是一个多域基准数据集，包含三个子集：Digits-5（手写数字图像的五个域，类别为0-9）、PACS（四个视觉域和七个类别，共9,944张图像）和office_caltech_10（四个域和十个类别，共9,000张图像）。这些数据集适用于领域适应任务，如数字识别和视觉对象分类，具有多源域和多类别特点。