UTA4数据集（AVI 2020）

数据集获取（Figshare）

• 源站标题：[AVI 2020] UTA4: Datasets
• DOI：10.6084/m9.figshare.12086568.v2
• 发布日期：2020-04-06
• 文件数：1 个
• 源站页面：https://figshare.com/articles/dataset/Single-Modality_vs_Multi-Modality/12086568

命令行下载

curl -L -o "uta4-sm-vs-mm-sheets" "https://www.kaggle.com/MIMBCD-UI/uta4-sm-vs-mm-sheets"

文件清单

• uta4-sm-vs-mm-sheets（大小未知）

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Several datasets are fostering innovation in higher-level functions for everyone, everywhere. By providing this repository, we hope to encourage the research community to focus on hard problems. In this project, we present usability (SUS), workload (NASA-TLX), time and rates (BIRADS) results of clinicians from our User Tests and Analysis 4 (UTA4) study. We also provide the medical imaging DICOM files. That said, we created UTA4: SUS Dataset, UTA4: NASA-TLX Dataset, UTA4: Time Dataset, UTA4: Rates Dataset and UTA4: Medical Imaging DICOM Files Dataset pages to provide further information regarding these datasets and respective repositories. Please follow this last information. The present data is a mirror of the uta4-sm-vs-mm-sheets-nameless repository. Work and results are published on a top Human-Computer Interaction (HCI) conference named AVI 2020 (page).

许可

GPL 3.0+

引用

学术使用请引用 DOI 10.6084/m9.figshare.12086568.v2（source: https://figshare.com/articles/dataset/Single-Modality_vs_Multi-Modality/12086568）。