FocalDB: A Dataset for Autofocusing Projectors Using Images and Videos with Varying Levels of Focus

The Autofocus Projector Dataset is a collection of 555 images and 150 videos captured while projecting images and videos with varying levels of Gaussian blur. The dataset includes images and videos of different blur levels, ranging from fully focused to the maximum levels of left and right Gaussian blur as per the projector's specifications. The dataset was recorded using a Redmi Note 11T 5G mobile camera with a 50 MP, f/1.8, 26mm (wide) sensor, PDAF image camera, and 1080p@30 fps video camera. The images and videos are organized into 111 and 30 folders, respectively, with each folder containing 5 images or videos. Each folder includes 4 images or videos with different blur levels and a clear, sharp image or video of the same image or video that was blurred at various levels. The index files for the images and videos contain metadata such as name, date, and time of capture, blur level, format, size, and dimensions. This dataset can be used to develop and train algorithms for autofocus in projectors.自动对焦投影仪数据集（Autofocus Projector Dataset）是一个包含555张图像与150段视频的集合，其采集自对不同程度高斯模糊的图像与视频进行投影的过程。该数据集涵盖了不同模糊等级的图像与视频，覆盖范围从完全对焦状态，到符合投影仪技术规格的左右向最大程度高斯模糊等级。本数据集通过Redmi Note 11T 5G手机摄像头录制，该摄像头搭载5000万像素、f/1.8光圈、26mm（广角）传感器，配备支持相位检测自动对焦（PDAF）的图像拍摄功能，以及1080p@30fps视频拍摄能力。图像与视频分别被整理至111个和30个文件夹中，每个文件夹包含5个素材，其中4个为不同模糊等级的版本，剩余1个为对应同一场景的清晰无模糊图像或视频。图像与视频的索引文件包含元数据信息，涵盖文件名、拍摄日期与时间、模糊等级、文件格式、文件大小以及分辨率尺寸。本数据集可用于开发与训练投影仪自动对焦相关算法。

搜集汇总

背景与挑战

背景概述

FocalDB是一个专门用于投影仪自动对焦算法开发的数据集，包含555张图像和150个视频，这些数据通过投影不同高斯模糊级别的图像和视频捕获。数据集结构清晰，每个文件夹包含4个模糊版本和1个清晰版本，适用于训练和测试计算机视觉模型，以提升投影仪的对焦性能。