---
license: other
tags:
- android
- neural-graphics
- gaming
- graphics
language:
- en
size_categories:
- n<1K
---

# Neural Graphics Dataset

![](https://huggingface.co/datasets/Arm/neural-graphics-dataset/resolve/main/bistro-output-colour-gamma.jpg)

A collection of reference images and image sequences along with the corresponding motion, depth and other data required to train, validate and test neural super sampling algorithms.

## Dataset Details

### Dataset Description

The current version of the dataset includes a limited set of data for Neural Super Sampling (see [NSS model](https://huggingface.co/Arm/neural-super-sampling) for more detail). The main purpose is to demonstrate how the [NSS model development flow](https://github.com/arm/neural-graphics-model-gym) works. It is not designed to provide a comprehensive dataset for complete model (re)training. Future releases of the [Neural Graphics Model Gym](https://github.com/arm/neural-graphics-model-gym) will provide tools to capture and convert content for use in model training and retraining. 

- **Curated by:** Arm Limited
- **License:** [Arm_AI_Model_Community_License](https://huggingface.co/datasets/Arm/neural-graphics-dataset/blob/main/Arm_AI_Model_Community_License_v1_0_PRE-1154.pdf)

### Dataset Sources

The dataset was captured from [Amazon Lumberyard Bistro](http://developer.nvidia.com/orca/amazon-lumberyard-bistro) scene implemented in [Unreal® Engine](https://www.unrealengine.com/)
- **Original asset location:** [Morgan McGuire, Computer Graphics Archive, July 2017](https://casual-effects.com/g3d/data10/research/model/bistro/Exterior.zip)

## Dataset Structure

The dataset is in a shape of [Safetensors](https://huggingface.co/docs/safetensors/en/index) files for training, validataion and testing:

```
neural-graphics-dataset /
├── test/ # test set
├── train/ # training set
└── val/ # validation set
```

Each Safetensor file contains the following data for training Neural Super Sampling:

- `colour_linear` - low resolution color data in linear format
- `ground_truth_linear` - high resolution color data in linear format 
- `depth` - per-pixel depth data
- `depth_params` - additional depth parameters
- `motion_lr` - low resolution motion vectors
- `motion` - high resolution motion vectors
- `exposure` - exposure values
- `jitter` - jitter vector
- `render_size` - low resolution image shape
- `zNear` - camera near plane values
- `zFar` - camera far plane values

## Bias, Risks, and Limitations

The training set contains 100 frames worth of data. It is intended for use with [NSS tutorials](https://github.com/arm/neural-graphics-model-gym-examples) and experimentation with the [NSS algorithm](https://github.com/arm/neural-graphics-model-gym).


## More Information

A pre-trained Neural Super Sampling model can be accessed from the [NSS model card](https://huggingface.co/Arm/neural-super-sampling) 

## License

The Neural Graphics Dataset is released under [Arm AI Model Community License](https://huggingface.co/datasets/Arm/neural-graphics-dataset/blob/main/Arm_AI_Model_Community_License_v1_0_PRE-1154.pdf)

## Trademark notice

Arm® is a registered trademarks of Arm Limited (or its subsidiaries) in the US and/or elsewhere.

Unreal, Unreal Engine, and the Unreal Engine logo are trademarks or registered trademarks of Epic Games, Inc. in the USA and elsewhere.