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11 datasets found
  1. portrait-segmentation

    • www.kaggle.com
    zip
    Updated Aug 28, 2020
  2. AISegment.com - Matting Human Datasets

    • www.kaggle.com
    zip
    Updated Jun 6, 2019
  3. /

    Testing Dataset for Fast Background Segmentation of the Head and Upper Body

    • data.mendeley.com
    Updated Sep 22, 2020
  4. w

    CGAP Smallholder Household Survey 2016, Building the Evidence Base on the...

    • microdata.worldbank.org
    Updated Dec 13, 2017
  5. w

    CGAP Smallholder Household Survey 2016, Building the Evidence Base on The...

    • microdata.worldbank.org
    Updated Dec 13, 2017
  6. w

    CGAP Smallholder Household Survey 2016, Building the Evidence Base on the...

    • microdata.worldbank.org
    Updated Mar 12, 2019
  7. s

    LG Electronics revenue from home appliances & air solution segment 2014-2019...

    • www.statista.com
    Updated Nov 4, 2019
  8. g

    King Size, Maximum Segment Size, Roni Size, Man-Sized Wreath, Life-sized...

    • amp.googl-info.com
    Updated 23 feb 2021
  9. g

    User persona

    • amp.en.googl-info.com
  10. g

    Mark Tschanz

    • amp.en.googl-info.com
    Updated May 16, 2020
  11. g

    WCW Hall of Fame

    • amp.en.googl-info.com
    Updated May 16, 2020
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Laurent H. (2019). AISegment.com - Matting Human Datasets [Dataset]. https://www.kaggle.com/laurentmih/aisegmentcom-matting-human-datasets
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AISegment.com - Matting Human Datasets

Binary segmentation of humans and their background.

5 scholarly articles cite this dataset (View in Google Scholar)
zip (15487364345 bytes)Available download formats
Dataset updated Jun 6, 2019
Authors
Laurent H.
License

Other (specified in description)

Description

Context

Human segmentation, i.e. high resolution extraction of humans from images, is a fascinating application with many uses. However, the problem is significantly under-constrained, making it an active area of research for developing more advanced methods. This dataset, developed by AISegment aims to help by providing a solid quality dataset of images and masks.

Quoting from the dataset author's GitHub (translated via Google Translate):

This dataset is currently the largest portrait matting dataset, containing 34,427 images and corresponding matting results. The data set was marked by the high quality of Beijing Play Star Convergence Technology Co., Ltd., and the portrait soft segmentation model trained using this data set has been commercialized.
The original images in the dataset are from Flickr, Baidu, and Taobao. After face detection and area cropping, a half-length portrait of 600*800 was generated.
The clip_img directory is a half-length portrait image in the format jpg; the matting directory is the corresponding matting file (convenient to confirm the matting quality), the format is png, you should first extract the alpha map from the png image before training. For example, using opencv you can get an alpha map like this:
In_image = cv2.imread('png image file path', cv2.IMREAD_UNCHANGED) Alpha = in_image[:,:,3]

License

See the author's GitHub.

Content

This dataset comes in two parts:
1. Full images
2. The respective RGB "masks" or "cutouts" of those images

Acknowledgements

Thanks to the folks from SegmentAI for putting this dataset together.

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