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--- |
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dataset_info: |
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features: |
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- name: image |
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dtype: image |
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- name: kpts |
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struct: |
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- name: depth |
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list: float64 |
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- name: keypoints2d |
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list: |
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list: float64 |
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|
- name: keypoints3d |
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list: |
|
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list: float64 |
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splits: |
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- name: train |
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|
num_bytes: 8215932300 |
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|
num_examples: 100000 |
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|
download_size: 8267044940 |
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|
dataset_size: 8215932300 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
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license: apache-2.0 |
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task_categories: |
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- object-detection |
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pretty_name: SynthesiaSet |
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size_categories: |
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|
- 100K<n<1M |
|
|
--- |
|
|
|
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|
<div align="center"> |
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|
<h1>SynthesiaSet</h1> |
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|
Matan Davidi |
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|
|
|
|
Cyril Moser |
|
|
|
|
|
Gent Serifi |
|
|
|
|
|
Nicola Studer |
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|
|
|
|
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|
ETH Zürich, Switzerland |
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|
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[[Project on GitHub]](https://github.com/MixedRealityETHZ/AR_Musician) |
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</div> |
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|
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|
Synthetic dataset containing `100K` Piano images with 2D+3D keypoint annotations (the 4 corners), rendered with [Mitsuba 3](https://www.mitsuba-renderer.org/). |
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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. |
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|
|
|
- **image**: RGB, 224x304 |
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|
- **kpts**: dictionary containing: |
|
|
- keypoints3d: (4, 3) 3D positions for all 4 keypoints (in clockwise order, starting from the top-left) |
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|
- keypoints2d: (4, 2) 2D keypoint projections |
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|
- depth: (4,) Distance to the camera |
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|
|
|
### 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, |
|
|
} |
|
|
``` |