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Deep facial features calculated from CelebA dataset with identity (201804 objects, 128 features, 10021 identities)
- Citation Author(s):
-
TomaszHachaj
- Submitted by:
- Tomasz Hachaj
- Last updated:
- Thu, 07/16/2020 - 05:59
- DOI:
- 10.21227/grq7-tp24
- License:
356 Views- Categories:
- Keywords:
Abstract
Deep facial features with identity generated from CelebA dataset using facenet network (128 real-valued features). Dataset contains:
- full dataset
- training dataset
- validation dataset
Link to CelebA dataset: http://mmlab.ie.cuhk.edu.hk/projects/CelebA.html
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
Normal
0
21
false
false
false
PL
X-NONE
X-NONE
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