princetonvisualai / imagenet-face-obfuscation Goto Github PK
View Code? Open in Web Editor NEWCode for the paper "A Study of Face Obfuscation in ImageNet"
Home Page: http://image-net.org/face-obfuscation
License: BSD 2-Clause "Simplified" License
imagenet-face-obfuscation's People
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diahannwu melnimr alen-haru trendingtechnology aj1143208 ankitshah009 idazhuang alsaeedhasnaa visual-query-semantics stanleyjacob blenature x0mattimagenet-face-obfuscation's Issues
dateset and model release
Dear author, may I ask when release the dateset or trained model?
Why not generate fake faces to protect privacy?
Why not generate fake faces for privacy protection?
Missing original ImageNet images
Hi,
After downloading and unpacking the blurred dataset I found there's 104 images missing, 101 from train and 3 in val .
Can you confirm this is the case also for you? I also noticed that they are all high resolution images.
the list of images is the following:
missing_train = ['n07717556_14716.jpg', 'n01914609_4962.jpg', 'n02363005_6485.jpg', 'n03126707_6906.jpg', 'n02106662_31614.jpg', 'n07584110_315.jpg', 'n04311004_4278.jpg', 'n07717410_11299.jpg', 'n07717556_16229.jpg', 'n01855672_4536.jpg', 'n02910353_15057.jpg', 'n02120505_16910.jpg', 'n01560419_5280.jpg', 'n04310018_19995.jpg', 'n01728920_14716.jpg', 'n01917289_2693.jpg', 'n02447366_11372.jpg', 'n07717410_13112.jpg', 'n03482405_29686.jpg', 'n03721384_30368.jpg', 'n02799071_11452.jpg', 'n02870880_4325.jpg', 'n04525305_4060.jpg', 'n01981276_18340.jpg', 'n02268443_18547.jpg', 'n02115913_1338.jpg', 'n01641577_1379.jpg', 'n03467068_7913.jpg', 'n02105641_68.jpg', 'n02484975_9160.jpg', 'n02279972_2473.jpg', 'n01728920_10545.jpg', 'n02099429_5103.jpg', 'n02130308_24082.jpg', 'n03467068_12171.jpg', 'n03538406_7201.jpg', 'n04228054_6271.jpg', 'n01682714_14951.jpg', 'n01695060_5493.jpg', 'n04146614_9587.jpg', 'n02206856_2913.jpg', 'n04467665_45963.jpg', 'n04311004_4178.jpg', 'n01440764_13368.jpg', 'n01756291_6037.jpg', 'n01688243_8643.jpg', 'n03717622_12175.jpg', 'n06785654_11260.jpg', 'n02804610_5012.jpg', 'n03347037_18352.jpg', 'n01981276_17668.jpg', 'n01968897_19058.jpg', 'n03126707_6212.jpg', 'n09193705_1119.jpg', 'n02447366_33293.jpg', 'n01843065_4222.jpg', 'n07584110_6871.jpg', 'n07584110_4539.jpg', 'n01910747_784.jpg', 'n01692333_219.jpg', 'n02490219_11648.jpg', 'n13040303_2297.jpg', 'n03447721_43129.jpg', 'n07730033_9083.jpg', 'n02514041_4102.jpg', 'n04146614_5867.jpg', 'n02120505_22267.jpg', 'n04310018_9850.jpg', 'n04008634_5068.jpg', 'n04347754_30496.jpg', 'n03347037_16993.jpg', 'n02133161_5011.jpg', 'n02814860_1825.jpg', 'n01728920_704.jpg', 'n02727426_9788.jpg', 'n02536864_3352.jpg', 'n03661043_5756.jpg', 'n02493509_8899.jpg', 'n02091032_11622.jpg', 'n04310018_16934.jpg', 'n02119022_27634.jpg', 'n02939185_22611.jpg', 'n01795545_5065.jpg', 'n03617480_3627.jpg', 'n04418357_3156.jpg', 'n01753488_3248.jpg', 'n03347037_13952.jpg', 'n06596364_9591.jpg', 'n02966193_3531.jpg', 'n01629819_12639.jpg', 'n03095699_3846.jpg', 'n09468604_17171.jpg', 'n13044778_9614.jpg', 'n02441942_10603.jpg', 'n02114548_17392.jpg', 'n02100583_22960.jpg', 'n01689811_9083.jpg', 'n02123394_2553.jpg', 'n01807496_28363.jpg', 'n02096294_5039.jpg', 'n02415577_11027.jpg']
missing_val = ['n01983481/ILSVRC2012_val_00034402.jpg', 'n04258138/ILSVRC2012_val_00039884.jpg', 'n02130308/ILSVRC2012_val_00033687.jpg']
After visual check I found that 10 images out of the 104 contain faces:
with_face = ['n01440764_13368.jpg', 'n01981276_18340.jpg', 'n02105641_68.jpg', 'n02727426_9788.jpg', 'n02804610_5012.jpg', 'n03467068_12171.jpg', 'n03538406_7201.jpg', 'n03721384_30368.jpg', 'n04146614_9587.jpg', 'n04311004_4178_.jpg']
Pretrained models
Hi, thanks for the great paper and the repo! Would you be able to provide links to the blur-trained ResNets? Thanks!
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