Published March 7, 2022 | Version 2
Dataset Open

Benchmark Dataset (2D/3D) of an Industrial Rotary Kiln Combustion Chamber with Refuse-Derived Fuel Particles from a Light-Field-Camera

Authors/Creators

  • 1. Institute for Automation and Applied Informatics, Karlsruhe Institute of Technology (KIT)
  • 2. Institute for Technical Chemistry, Karlsruhe Institute of Technology (KIT)

Description

Benchmark dataset for the detection of fuel particles (refuse-derived fuels - RDF) in 2D and 3D image data in a rotary kiln combustion chamber.

Organization:
01_Images: 50 Images (2D)
02_Labels: Labeled ground truth image with rotary kiln, burner flame, burning particle in air, non-burning particle in air and particle on wall.
03_Particle List: Lists of the coordinates of the center of gravity of particles in image coordinates.
04_Point Cloud: 3D point cloud for the 50 images.
05_Matlab: Code and visualization examples.
06_All_Data: Images and 3D point cloud for 2010 images of a sequence containing the images with ground truth (see TXT file).

Files

Data_Set_2D_3D_Particle_Detection.zip

Files (12.5 GB)