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.

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。