Published February 28, 2023
| Version v1
Dataset
Open
Data collection of toy horses and zebras for multi-modal image synthesis
Authors/Creators
- 1. German Research Center for Artificial Intelligence GmbH, Lübeck, Germany
Description
Motivated by building a live demonstration of horse-to-zebra synthesis, we created our own dataset consisting of images of different toy horses and zebras. We used a wide variety of backgrounds, camera angles and lighting settings. In addition, images were also created in which the toy animals were held in the hand to better demonstrate synthesis in front of the camera.
Besides the raw image and video footage, we prepared different compilations of data in form of datasets.
Following the horse-to-zebra synthesis by Zhu et al. in the paper "Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks", we partially adopted the horse2zebra dataset from real horses and zebras in our datasets.
Notes
The dataset "horse2zebra_reduced" in /datasets is a reduced form of the origin from the UC Berkeley's official directory of CycleGAN Datasets ("https://people.eecs.berkeley.edu/~taesung_park/CycleGAN/datasets/"). For more details on the horse2zebra dataset, please see the work from:
@inproceedings{CycleGAN2017,
title={Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks},
author={Zhu, Jun-Yan and Park, Taesung and Isola, Phillip and Efros, Alexei A},
booktitle={Computer Vision (ICCV), 2017 IEEE International Conference on},
year={2017}
}
Files
datasets.zip
Files
(13.3 GB)
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md5:caf1a1555e4fedcf0bd25c9e15321cca
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4.6 GB | Preview Download |
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md5:481a010dcb82483a0cc42dc30019fc22
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803 Bytes | Preview Download |
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md5:f68963f327b3b7a5d1e3411583782a43
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1.4 GB | Preview Download |
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md5:fbcb157713bddacc27648e63381473a0
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13.0 MB | Preview Download |
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md5:10ff09fd6a822987f964379c42442c2a
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3.1 MB | Preview Download |
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md5:44e7b19258a9608b18369a7f8d463e11
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7.2 GB | Preview Download |