Regarding your MsCeleb clean list image names

[lucwan]

I have a doubt

Please look at the clean list provided by you, ms1m_clean_list.txt, in this list for the Freebase identity m.05lbbp which has one image 51.jpg
But in MsCeleb original database the Freebase identity m.05lbbp has 22 images with 51 name such as

51-FaceId-0.jpg 51-FaceId-11.jpg 51-FaceId-13.jpg 51-FaceId-15.jpg 51-FaceId-17.jpg 51-FaceId-19.jpg 51-FaceId-20.jpg 51-FaceId-2.jpg 51-FaceId-4.jpg 51-FaceId-6.jpg 51-FaceId-8.jpg 51-FaceId-10.jpg 51-FaceId-12.jpg 51-FaceId-14.jpg 51-FaceId-16.jpg 51-FaceId-18.jpg 51-FaceId-1.jpg 51-FaceId-21.jpg 51-FaceId-3.jpg 51-FaceId-5.jpg 51-FaceId-7.jpg 51-FaceId-9.jpg

can you please tell us how did you assign names to your images while generating images from MsCelebV1-Faces-Aligned.tsv while following the below format described by MsCeleb

File format: text files, each line is an image record containing 7 columns, delimited by TAB.
Column1: Freebase MID
Column2: ImageSearchRank
Column3: ImageURL
Column4: PageURL
Column5: FaceID
Column6: FaceRectangle_Base64Encoded (four floats, relative coordinates of UpperLeft and BottomRight corner)
Column7: FaceData_Base64Encoded

you can check the format at
https://www.microsoft.com/en-us/research/project/ms-celeb-1m-challenge-recognizing-one-million-celebrities-real-world/

[nttstar]

MID/SearchRank.jpg

[yxchng]

@lucwan Do you understand what the author says? Can you elaborate a bit? He doesn't seem to be answering your question.