Update README.md
Browse files
README.md
CHANGED
@@ -1,5 +1,16 @@
|
|
1 |
---
|
2 |
license: cc-by-4.0
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
3 |
---
|
4 |
## Photo Print Attacks Dataset: 1K Individuals
|
5 |
|
@@ -26,7 +37,4 @@ This dataset focuses on photo print attacks which is used by both iBeta and NIST
|
|
26 |
Liveness detection: This dataset is ideal for training and evaluating liveness detection models, enabling researchers to distinguish between selfies and photo print attacks with high accuracy
|
27 |
|
28 |
Keywords:
|
29 |
-
Print photo attack dataset, Antispoofing for AI, Liveness Detection dataset for AI, Spoof Detection dataset, Facial Recognition dataset, Biometric Authentication dataset, AI Dataset, PAD Attack Dataset, Anti-Spoofing Technology, Facial Biometrics, Machine Learning Dataset, Deep Learning
|
30 |
-
|
31 |
-
|
32 |
-
|
|
|
1 |
---
|
2 |
license: cc-by-4.0
|
3 |
+
task_categories:
|
4 |
+
- image-classification
|
5 |
+
- image-feature-extraction
|
6 |
+
- video-classification
|
7 |
+
- image-segmentation
|
8 |
+
language:
|
9 |
+
- en
|
10 |
+
tags:
|
11 |
+
- biology
|
12 |
+
size_categories:
|
13 |
+
- 1K<n<10K
|
14 |
---
|
15 |
## Photo Print Attacks Dataset: 1K Individuals
|
16 |
|
|
|
37 |
Liveness detection: This dataset is ideal for training and evaluating liveness detection models, enabling researchers to distinguish between selfies and photo print attacks with high accuracy
|
38 |
|
39 |
Keywords:
|
40 |
+
Print photo attack dataset, Antispoofing for AI, Liveness Detection dataset for AI, Spoof Detection dataset, Facial Recognition dataset, Biometric Authentication dataset, AI Dataset, PAD Attack Dataset, Anti-Spoofing Technology, Facial Biometrics, Machine Learning Dataset, Deep Learning
|
|
|
|
|
|