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https://github.com/leiainc/holopix50k

Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset
https://github.com/leiainc/holopix50k

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Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset

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# Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset



### Presented at [CVPR 2020 Workshop on Computer Vision for Augmented and Virtual Reality](https://mixedreality.cs.cornell.edu/workshop/2020)



### [Project](https://leiainc.github.io/holopix50k/) | [Paper](https://arxiv.org/abs/2003.11172)



[Owen Hua](https://www.linkedin.com/in/owen-yiwen-hua/),

[Puneet Kohli](https://www.linkedin.com/in/punkohl),

[Pritish Uplavikar](https://www.linkedin.com/in/pritishuplavikar) \*,

[Anand Ravi](https://www.linkedin.com/in/anandravi24) \*,

[Saravana Gunaseelan](https://www.linkedin.com/in/saravanaguna),

[Jason Orozco](mailto:[email protected]),

[Edward Li](https://www.linkedin.com/in/edward-li-947a3829/) 


[Leia Inc.](https://www.leiainc.com/)


* Denotes equal contribution





  




With the mass-market adoption of dual-camera mobile phones, leveraging stereo information in computer vision has become increasingly important. Current state-of-the-art methods utilize learning-based algorithms, where the amount and quality of training samples heavily influence results. Existing stereo image datasets are limited either in size or subject variety. Hence, algorithms trained on such datasets do not generalize well to scenarios encountered in mobile photography. We present Holopix50k, a novel in-the-wild stereo image dataset, comprising 49,368 image pairs contributed by users of the Holopix™ mobile social platform.



## Downloading the dataset



### Linux/MacOS



In order to download the Holopix50k dataset, you will need to run the following command in a

[Python3](https://www.python.org/downloads/) environment and need either [wget](https://www.gnu.org/software/wget/) or

[curl](https://curl.haxx.se/docs/install.html) installed on you machine.



To download the complete dataset, run `scripts/download_holopix50k.sh` with the download path as follows:

```shell script

./scripts/download_holopix50k.sh 

```



You can also chose to download only the required dataset split by giving the following optional arguments to the

script:

```shell script

./scripts/download_holopix50k.sh  [train|test|val]

```



The above commands will download the dataset at `/Holopix50k`.



Note that the script temporarily installs the `gsutil` tool to download the dataset. If you face issues installing

`gsutil`, check out the official installation guide

[here](https://cloud.google.com/storage/docs/gsutil_install#alt-install).



### Windows



To download the dataset on Windows, you will need [Python](https://www.python.org/downloads/) installed on your

machine. Once you have Python set up, download `gsutil` from [here](https://storage.googleapis.com/pub/gsutil.zip) and

extract the downloaded archive to some `GSUTIL_ROOT` directory (for example, `C:\gsutil`).



Now run the following command to download the complete Holopix50k dataset:

```shell script

python [GSUTIL_ROOT]\gsutil -m cp -n -r gs://holopix50k-dataset/Holopix50k 

```



If you want to download a particular `SPLIT` ("train", "test" or "val") of the Holopix50k dataset, change and run the

above command as follows:

```shell script

python [GSUTIL_ROOT]\gsutil -m cp -n -r gs://holopix50k-dataset/Holopix50k/[SPLIT] 

```



If you face issues installing `gsutil`, follow the installation guide

[here](https://cloud.google.com/storage/docs/gsutil_install#alt-install).



### Dataset size



Note that the size of the dataset you are able to download may vary from the original dataset size of 49,368 stereo images. Holopix50k is a crowd sourced dataset from [Holopix](https://www.holopix.com/) social media platform. The original user (who posts the image on Holopix) retains the copyrights of the images they post as mentioned in our [LICENSE](https://github.com/LeiaInc/holopix50k/blob/master/LICENSE). Hence, if a user deletes their image from Holopix, it is removed from our dataset and won't be available for download. This is similar to how other crowd sourced datasets operate (eg. [WSVD](https://sites.google.com/view/wsvd/home)).



## Citation



If you use the Holopix50k dataset in your work, please cite our paper



```

@InProceedings{hua2020holopix50k,

author = {Yiwen Hua and Puneet Kohli and Pritish Uplavikar and Anand Ravi and Saravana Gunaseelan and Jason Orozco and Edward Li},

title = {Holopix50k: A Large-Scale In-the-wild Stereo Image Dataset},

booktitle = {CVPR Workshop on Computer Vision for Augmented and Virtual Reality, Seattle, WA, 2020.},

month = {June},

year = {2020}

}

```