|
--- |
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license: cc-by-nc-4.0 |
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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: world_name |
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dtype: string |
|
- name: character_name |
|
dtype: string |
|
- name: character_label |
|
dtype: string |
|
- name: character_rotation_yaw |
|
dtype: int64 |
|
- name: character_rotation_roll |
|
dtype: int64 |
|
- name: character_rotation_pitch |
|
dtype: int64 |
|
- name: character_scale |
|
dtype: float64 |
|
- name: camera_roll |
|
dtype: int64 |
|
- name: camera_pitch |
|
dtype: int64 |
|
- name: camera_yaw |
|
dtype: int64 |
|
- name: character_texture |
|
dtype: string |
|
- name: scene_light |
|
dtype: string |
|
splits: |
|
- name: train |
|
num_bytes: 29382707151.112 |
|
num_examples: 88328 |
|
download_size: 29358745565 |
|
dataset_size: 29382707151.112 |
|
configs: |
|
- 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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## PUG: ImageNet |
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The PUG: ImageNet dataset contains 88,328 pre-rendered images based on Unreal Engine using 724 assets representing 151 ImageNet classes with 64 environments, 7 sizes, 9 textures, 18 different camera orientations, 18 different character orientations and 7 light intensities. In contrast to PUG: Animals, PUG: ImageNet was created by varying only a single factor at a time (which explains the lower number of images than PUG: Animals despite using more factors). The main purpose of this dataset is to provide a novel, useful benchmark, paralleling ImageNet, but for fine-grained evaluation of the robustness of image classifiers, along several factors of variation. |
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|
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## LICENSE |
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The datasets are distributed under the CC-BY-NC, with the addenda that they should not be used to train Generative AI models. |
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|
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## Citing PUG |
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If you use one of the PUG datasets, please cite: |
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``` |
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@misc{bordes2023pug, |
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title={PUG: Photorealistic and Semantically Controllable Synthetic Data for Representation Learning}, |
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author={Florian Bordes and Shashank Shekhar and Mark Ibrahim and Diane Bouchacourt and Pascal Vincent and Ari S. Morcos}, |
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year={2023}, |
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eprint={2308.03977}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CV} |
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} |
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``` |
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|
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## To learn more about the PUG datasets: |
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Please visit the [website](https://pug.metademolab.com/) and the [github](https://github.com/facebookresearch/PUG) |