The datasets were generated in order to test depth estimation method in light field. They were submitted along with our proposed depth estimation framework in TIP, July 2019.
The 'Inria synthetic light field datasets' is composed of two sub-datasets (SLFD & DLFD) generated with open source software Blender. Sparse Light Field Dataset (SLFD) includes 53 scenes with disparity range [-20,20] pixels between adjacent views, and Dense Light Field Dataset (DLFD) contains 39 scenes with disparity range [-4,4] pixels. Both datasets have light fields of spatial resolution 512 x 512 and of angular resolution 9 x 9. Besides color image (format .png) of each view, corresponding disparity map is also available in format .npy (for Python users) or .mat (for Matlab users).
| Furniture [-13.55,12.61] | Lion [-3.19,14.38] | Toy_bricks [-0.40,10.94] | Electro_devices [-4.85,8.23] |
| White_roses [-1.52,3.38] | Bowl & Chair [-1.87,-0.04] | Kitchen_board [-1.61,-0.10] | Toy_friends [-2.02,2.54] |
All datasets and benchmarks on this page are copyright by us and published under the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License. This means that you must attribute the work in the manner specified by the authors, you may not use this work for commercial purposes and if you alter, transform, or build upon this work, you may distribute the resulting work only under the same license.
