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*The dataset and groundtruth are publicly available for non-commercial use. Please refer to Tan et al, IEEE T-II, 2012 if you use this dataset in your publication.

*March, 2017: We would like to thank Duncan Ogilvie for spotting a filename error in the Groundtruth folder. We have renamed "1_BO_AllFamily_Lrg.jpg" to "obama.jpg", so that the name is matched to the original image.

*Feb., 2014: We would like to thank Mohd Zamri, currently a PhD student from University Technology Malaysia (UTM) for his effort in preparing the groundtruth of this dataset.


The images in this dataset are downloaded randomly from Google for human skin detection research. These images are captured with a range of different cameras using different colour enhancement and under different illuminations.

There are four(4) folders associated with the dataset:
  1. FacePhoto -
    • Single subject
    • Simple background
    • Total Images = 32
  2. FamilyPhoto -
    • Multiple subjects
    • Complex background
    • Total Images = 46
  3. GroundT_FacePhoto -
    • The groundtruth images for FacePhoto
  4. GroundT_FamilyPhoto -
    • The groundtruth images for FamilyPhoto


A Fusion Approach for Efficient Human Skin Detection
W.R. Tan, C.S. Chan, Y. Pratheepan and J. Condell
IEEE Transactions on Industrial Informatics, vol.8(1):138-147 (T-II 2012)


This research is based upon work supported by the High Impact Research Chancellory Grant UM.C/625/1/HIR/037, J0000073579 from the University of Malaya. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the University of Malaya.

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