README file
Data Set Title: the X-NeRF dataset
Data Set Author/s: Matteo Poggi (University of Bologna), 0000-0002-3337-2236; Pierluigi Zama Ramirez (University of Bologna), 0000-0001-7734-5064; Fabio Tosi (University of Bologna), 0000-0002-6276-5282; Samuele Salti (University of Bologna), 0000-0001-5609-426X; Stefano Mattoccia (University of Bologna), 0000-0002-3681-7704; Luigi Di Stefano (University of Bologna), 0000-0001-6014-6421;

Data Set Contact Person/s: Matteo Poggi (University of Bologna), 0000-0002-3337-2236; Samuele Salti (University of Bologna), 0000-0001-5609-426X, samuele.salti@unibo.it; Stefano Mattoccia (University of Bologna), 0000-0002-3681-7704, stefano.mattoccia@unibo.it; Luigi Di Stefano (University of Bologna), 0000-0001-6014-6421, luigi.distefano@unibo.it;

Data Set License: this data set is distributed under a 
Creative Commons Attribution Non-Commercial 4.0 International license
Publication Year: 2022
Project Info: Cross-Spectral Neural Radiance Fields, funded by HUAWEI TECHNOLOGIES OY (FINLAND); https://cvlab-unibo.github.io/xnerf-web/. 
Data set Contents
The data set consists of a set of images collected in different environments. In each environment, images are collected with three sensors: a color (RGB) camera, a multi-spectral (MS) camera and a near-infrared (IR). 
A single, main archive is provided, containing 16 image sequences organized in different folders: 
bins, black, bluechair, cvlab, dino, fruits, green, hall, hall2, hall3, hall4, orange, penguin,  penguin2, puppets, tech

Data set Documentation
Abstract
A Cross-spectral dataset used for experiments reported in “Cross-Spectral Neural Radiance Fields”, 3DV 2022. It consists of 16 forward-facing scenes with color, multi-spectral and infrared images.
Each sequence folder contains the following folders and files:
•	ir_imgs.npy : Nx1023x1023x1 tensor of N IR images
•	ms_imgs.npy :  Nx254x510x10 tensor of N IR images
•	rgb_imgs.npy :  Nx3008x4112x3 tensor of N IR images
•	rgb_poses.npy : Nx4x4 tensor of RGB camera poses
File specifics
Any data is provided in the form of .npy files, encoding floating point values. Images are normalized as described in “Cross-Spectral Neural Radiance Fields”, 3DV 2022. 
Data sources 
RGB images have been collected with Sony IMX253LQR-C 12.4 Mpx sensors.
MS images have been collected with Ximea IM-SM4X4-VIS2 2.2 Mpx sensor.
IR images have been collected with Microsoft Azure sensor.

Methodologies 
Images can be opened with numpy python library.