Omkar2118/datasets huggingface dataset:
SILVR
Full name: A Synthetic Immersive Large-Volume Plenoptic Dataset

We present _SILVR_, a dataset of light field images for six-degrees-of-freedom
navigation in large fully-immersive volumes. The _SILVR_ dataset is short for
_"**S**ynthetic **I**mmersive **L**arge-**V**olume **R**ay"_ dataset.

## Properties
Our dataset exhibits the following properties:

 - **synthetic**: Rendered using Blender 3.0 with Cycles, the images are
   perfect and do not need any calibration. Camera positions and lens
   configurations are known exactly and provided in the corresponding JSON
   files.
 - **large interpolation volume**: The camera configurations span a
   relatively large volume (a couple of meters in diameter).
 - **large field of view**: In order to maximize the _interpolation volume_
   (a.k.a: the walkable volume of light), the images are rendered using fisheye
   lenses with a field of view of 180°.
 - **immersive**: Thanks to the large field of view and positioning of the
   viewpoints, every point within the interpolation volume has a full panoramic
   field of view of light information available.
 - **realism**: The selected scenes have reasonable realism.
 - **depth maps**: As the images are computer-generated renders, we provide
   depth maps for every image.
 - **specularities** and **reflections**: The scenes exhibit some specularities
   or reflections, including mirrors. Reflections and mirrors always have the
   depth of the surface, and not the apparent depth of the reflections.
 - **volumetrics**: Some volumetrics are also present (fire, smoke, fog) in the
   `garden` scene.
 - **densly rendered**: The camera setup is rather dense (around 10cm spacing
   between cameras).