SynthesiaSet / README.md
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---
dataset_info:
features:
- name: image
dtype: image
- name: kpts
struct:
- name: depth
list: float64
- name: keypoints2d
list:
list: float64
- name: keypoints3d
list:
list: float64
splits:
- name: train
num_bytes: 8215932300
num_examples: 100000
download_size: 8267044940
dataset_size: 8215932300
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: apache-2.0
task_categories:
- object-detection
pretty_name: SynthesiaSet
size_categories:
- 100K<n<1M
---
<div align="center">
<h1>SynthesiaSet</h1>
Matan Davidi
&nbsp;&nbsp;&nbsp;&nbsp;
Cyril Moser
&nbsp;&nbsp;&nbsp;&nbsp;
Gent Serifi
&nbsp;&nbsp;&nbsp;&nbsp;
Nicola Studer
&nbsp;&nbsp;&nbsp;&nbsp;
ETH Zürich, Switzerland
[[Project on GitHub]](https://github.com/MixedRealityETHZ/AR_Musician)
</div>
Synthetic dataset containing `100K` Piano images with 2D+3D keypoint annotations (the 4 corners), rendered with [Mitsuba 3](https://www.mitsuba-renderer.org/).
Created as part of our [course project](https://github.com/MixedRealityETHZ/AR_Musician) for [Mixed Reality](https://cvg.ethz.ch/lectures/Mixed-Reality/) at ETH Zürich.
- **image**: RGB, 224x304
- **kpts**: dictionary containing:
- keypoints3d: (4, 3) 3D positions for all 4 keypoints (in clockwise order, starting from the top-left)
- keypoints2d: (4, 2) 2D keypoint projections
- depth: (4,) Distance to the camera
### References
```
@software{jakob2022mitsuba3,
title = {Mitsuba 3 renderer},
author = {Wenzel Jakob and Sébastien Speierer and Nicolas Roussel and Merlin Nimier-David and Delio Vicini and Tizian Zeltner and Baptiste Nicolet and Miguel Crespo and Vincent Leroy and Ziyi Zhang},
note = {https://mitsuba-renderer.org},
version = {3.0.1},
year = 2022,
}
```