EyeInfo眼动信息数据
公开眼动视频、CSV和JSON数据，可用于眼位偏斜和注视行为分析，由Fabricio Narcizo提供，来自GitHub数据库，数据格式为多模态，适用于关键点标注任务，许可证为MIT。
基本信息
资源简介
EyeInfo眼动信息数据
【数据集背景】
本数据集源站标题为《fabricionarcizo/eyeinfo》。源站首次发布：2021-09-23。
【数据内容】
源站原始描述：EyeInfo Dataset # EyeInfo Dataset The EyeInfo Dataset is an open-source eye-tracking dataset created by Fabricio Batista Narcizo, a research scientist at the IT University of Copenhagen (ITU) and GN Audio A/S (Jabra), Denmark. This dataset was introduced in the paper "_High-Accuracy Gaze Estimation for Interpolation-Based Eye-Tracking Methods_" (DOI: 10.3390/vision5030041). The dataset contains high-speed monocular eye-tracking data from an off-the-shelf remote eye tracker using active illuminat…
【适用方向】
多模态数据适合跨模态对齐、融合建模与联合表征学习方向的研究。
【获取与许可】
源站页面：https://github.com/fabricionarcizo/eyeinfo
使用许可：MIT。
【使用注意】
· 源站最后修改于 2025-12-16，引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载，适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档，适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务（收技术服务费，非数据销售）
暂未开放当前数据集主要来源为 Kaggle 公开托管，完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取
git clone https://github.com/fabricionarcizo/eyeinfo.git
curl -L -o repo.zip https://github.com/fabricionarcizo/eyeinfo/archive/refs/heads/main.zip
unzip repo.zip
源站 README 摘录（使用方式）
Usage
This project uses Data Version Control (DVC) to manage the dataset. The latest collected and processed eye-tracking data are available on the main branch of this GitHub repository.
Requirements
- An active Anaconda or Miniforge installation added to your
$PATH - (Recommended) Visual Studio Code installed
Installation
Create new environment called eyeinfo:
conda env create -f environment.yml
Activate the created environment:
conda activate eyeinfo
Download the Dataset
The EyeInfo Dataset’'s raw data (videos, text, CSV, and JSON files) are available as a DVC resource on Google Drive. The dataset contains approximately $285$ MB of files.
Use DVC to download the raw EyeInfo Dataset. From the root folder, execute the following command:
dvc pull
This command will open the web browser automatically, and you must to sign-in using your Google account to allow DVC downloading the dataset. You must give full permission to DVC access the Google Drive resources.
DVC will create the folders called 01_dataset with the raw data, 02_eye_feature with the eye features extracted from each collected video, and 03_metadata with the metadata of each processed video. The folder 01_dataset/0000 contains the $35$ videos of the right eye of the Participant #01. You can use these videos to understand how the dataset was created and organized.
数据加载示例（表格/文本类）
import pandas as pd, glob, os
files = (glob.glob(os.path.join(path, "**", "*.csv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.tsv"), recursive=True)
+ glob.glob(os.path.join(path, "**", "*.xlsx"), recursive=True))
print("数据文件:", files)
df = pd.read_csv(files[0])
print(df.shape); print(df.columns.tolist()); print(df.head(3))
数据缺失？
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