2 datasets found
  1. P

    selfie2anime Dataset

    • paperswithcode.com
    • opendatalab.com
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    Junho Kim; Minjae Kim; Hyeonwoo Kang; Kwanghee Lee, selfie2anime Dataset [Dataset]. https://paperswithcode.com/dataset/selfie2anime
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    Authors
    Junho Kim; Minjae Kim; Hyeonwoo Kang; Kwanghee Lee
    Description

    The selfie dataset contains 46,836 selfie images annotated with 36 different attributes. We only use photos of females as training data and test data. The size of the training dataset is 3400, and that of the test dataset is 100, with the image size of 256 x 256. For the anime dataset, we have firstly retrieved 69,926 animation character images from Anime-Planet1. Among those images, 27,023 face images are extracted by using an anime-face detector2. After selecting only female character images and removing monochrome images manually, we have collected two datasets of female anime face images, with the sizes of 3400 and 100 for training and test data respectively, which is the same numbers as the selfie dataset. Finally, all anime face images are resized to 256 x 256 by applying a CNN-based image super-resolution algorithm.

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  2. h

    selfie2anime

    • huggingface.co
    Updated Jun 27, 2022
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    HugGAN Community (2022). selfie2anime [Dataset]. https://huggingface.co/datasets/huggan/selfie2anime
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Jun 27, 2022
    Dataset authored and provided by
    HugGAN Community
    Description

    huggan/selfie2anime dataset hosted on Hugging Face and contributed by the HF Datasets community

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Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Junho Kim; Minjae Kim; Hyeonwoo Kang; Kwanghee Lee, selfie2anime Dataset [Dataset]. https://paperswithcode.com/dataset/selfie2anime

selfie2anime Dataset

Explore at:
46 scholarly articles cite this dataset (View in Google Scholar)
Authors
Junho Kim; Minjae Kim; Hyeonwoo Kang; Kwanghee Lee
Description

The selfie dataset contains 46,836 selfie images annotated with 36 different attributes. We only use photos of females as training data and test data. The size of the training dataset is 3400, and that of the test dataset is 100, with the image size of 256 x 256. For the anime dataset, we have firstly retrieved 69,926 animation character images from Anime-Planet1. Among those images, 27,023 face images are extracted by using an anime-face detector2. After selecting only female character images and removing monochrome images manually, we have collected two datasets of female anime face images, with the sizes of 3400 and 100 for training and test data respectively, which is the same numbers as the selfie dataset. Finally, all anime face images are resized to 256 x 256 by applying a CNN-based image super-resolution algorithm.

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