Hi there,

Would it be possible to create a download link that is not Baidu Yun as I am struggling to download the data and test the dataset.

Thanks,
Asim

@cleardusk Hi, can you release the code on your technique which would help a lot of mates make their own datasets ? Cheers!

Hi
I evaluation the four testing protocols in paper. I don't confirm my method and result is correct.
there is 4 file list txt。[0] gallery_black_glass.txt [1]gallery_no_glass.txt [2]probe_black_glass.txt [3]probe_no_glass.txt
4 test protocols:
I) [1] vs [3]
II) [0] vs [2]
III) [1] vs [2]
IV) [0][1] vs [2][3] (Gallery images contain both eyeglass images and non eyeglass images, so as probe image.)
the result from paper show that III) has the better result than [IV)。
for ResNet-22-A RPR@FAR=10e-4 III): 88.13 IV):78.17 Rank1 III): 95.61 IV):92.31

in my experiment test, I use LightCNN29 model to evaluate, ang get the following result:
for LightCNN29 RPR@FAR=10e-4 III): 87.49 IV):87.03 Rank1 III): 93.39 IV):98.54
as showed, III) has litter better result than IV) and Rank1 smaller than IV）.

I mixture [0][1] as the new Gallery, and mixture [2][3] as the new probe in protocol IV). which should has less degree of difficulty than protocol III), because all of pairs in III) contains non-eyeglass and eyeglass, otherwise，IV)contains some simple pairs of non-eyeglass.

So I don't think IV) could get better than III) from my consider and test

where is wrong for my test? could you tell me

how do you generate 3D data of the glasses ?

The reported number of glasses and non-glasses images is reversed. There should be 14832 glasses and 33085 non-glasses. Can you guys verify this? Thanks.

i want generate eyeglasses for my own face dataset, how could i achieve it? by this project? any related or useful eyeglasses generator used?

I am trying your method to improve the performance of my face recognition model.But I can't understand clearly，How are these eyeglass faces generated concretely？How do you blend 'Synthetic Result' from 'Input Face Image' and '3DMM face model' ? Can you give me some advice? Thx!

Excuse me ,im a PhD student and now solving the glassed detection problem.
Thank you very much for you opened MeGlass dataset.
And will you open you code in your paper later?

Do you have the ground truth for segmentation masks of where the glasses are on each image?
Specifically, I would like to know the ground-truth masks for pixels that correspond to the glass of the eyeglasses (I'm building an eyeglass segmentation network).

Hi @cleardusk, thanks for sharing your data & codes. Could you share the original MeGlass data on Google Drive? It's hardly possible to download it from BaiduYun.

your work is very excellent, can you release your code as describe in paper?

Instead of a separate text file, rename the images with the label itself

Excuse me, this file, named MeGlass_120x120.zip, only contains 47917 images. And according to the naming rule, I can just distinguish the face image's identity. But how can I judge the images with or without eyeglasses for the same identity?