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.