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）是一组包含555张图像与150段视频的采集数据集，其素材采集自投影带有不同程度高斯模糊的图像与视频的场景。该数据集涵盖了从完全对焦状态，到符合投影仪规格的左右侧最大高斯模糊程度的各类模糊等级的图像与视频。本次数据采集使用Redmi Note 11T 5G手机摄像头，该摄像头搭载5000万像素、f/1.8光圈、26mm（广角）传感器、PDAF相位对焦图像摄像头，以及支持1080p@30fps帧率拍摄的视频模组。图像与视频分别被整理至111个与30个文件夹中，每个文件夹包含5份素材。每个文件夹内包含4份不同模糊等级的素材，以及对应同一原始素材的清晰无模糊版本。图像与视频的索引文件包含元数据信息，例如素材名称、拍摄日期与时间、模糊等级、文件格式、文件大小及分辨率尺寸。该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是一个专为投影仪自动对焦算法开发设计的数据集，包含555张图像和150个视频，覆盖了从完全对焦到最大高斯模糊的多个模糊级别。数据通过特定移动相机捕获，并结构化组织成文件夹，每个文件夹包括不同模糊版本和清晰版本，附带元数据索引，适用于训练和评估自动对焦模型。