Deep facial features calculated from CelebA dataset with identity (201804 objects, 128 features, 10021 identities)

Citation Author(s):
Tomasz
Hachaj
Submitted by:
Tomasz Hachaj
Last updated:
Thu, 07/16/2020 - 05:59
DOI:
10.21227/grq7-tp24
License:
0
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Abstract 

Deep facial features with identity generated from CelebA dataset using facenet network (128 real-valued features). Dataset contains: - full dataset- training dataset- validation datasetLink to CelebA dataset: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html

Instructions: 

 

All files are csv text files with comma as separator.

 

- "CelebA dataset deep features.txt", 201804 rows

 

No header

 

First column: file name

 

Second column: identity code

 

Rest of columns: 128 deep features

 

 

 

- "Random_First_Half_same_twarze_faces_data_network_OK.txt" and "Random_Second_Half_same_twarze_faces_data_network_OK.txt"

 

Randomly shuffled data from "CelebA dataset deep features.txt", both 100902 excluding header

 

 

 

Header

 

First column: column number

 

Second column: file name

 

Second column: identity code

 

Rest of columns: 128 deep features

 

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