Datasets:
Languages:
English
Size:
< 1K
Tags:
silicone mask
silicone mask attack
3d mask
biometric security
attack detection
liveness detection
License:
Update README.md
Browse files
README.md
CHANGED
|
@@ -7,29 +7,27 @@ task_categories:
|
|
| 7 |
language:
|
| 8 |
- en
|
| 9 |
tags:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 10 |
- liveness detection
|
| 11 |
- anti-spoofing
|
| 12 |
- biometrics
|
| 13 |
- facial recognition
|
| 14 |
-
- machine learning
|
| 15 |
-
- deep learning
|
| 16 |
-
- AI
|
| 17 |
-
- paper mask attack
|
| 18 |
- iBeta certification
|
| 19 |
- PAD attack
|
| 20 |
- security
|
| 21 |
- ibeta
|
| 22 |
- face recognition
|
| 23 |
-
- pad
|
| 24 |
-
- authentication
|
| 25 |
-
- fraud
|
| 26 |
size_categories:
|
| 27 |
- 10K<n<100K
|
| 28 |
---
|
| 29 |
-
# Silicone Mask
|
| 30 |
10,000+ videos of attacks with Silicone 3D Masks for iBeta 2. The Dataset is designed to address security challenges in liveness detection systems through 3D silicone mask attacks. These presentation attacks are key for testing Passive Liveness Detection systems crucial for iBeta Level 2 certification. This dataset significantly enhances the capabilities of liveness detection models
|
| 31 |
|
| 32 |
-
## Full version of dataset is
|
| 33 |
|
| 34 |

|
| 35 |
|
|
|
|
| 7 |
language:
|
| 8 |
- en
|
| 9 |
tags:
|
| 10 |
+
- silicone mask
|
| 11 |
+
- silicone mask attack
|
| 12 |
+
- 3d mask
|
| 13 |
+
- biometric security
|
| 14 |
+
- attack detection
|
| 15 |
- liveness detection
|
| 16 |
- anti-spoofing
|
| 17 |
- biometrics
|
| 18 |
- facial recognition
|
|
|
|
|
|
|
|
|
|
|
|
|
| 19 |
- iBeta certification
|
| 20 |
- PAD attack
|
| 21 |
- security
|
| 22 |
- ibeta
|
| 23 |
- face recognition
|
|
|
|
|
|
|
|
|
|
| 24 |
size_categories:
|
| 25 |
- 10K<n<100K
|
| 26 |
---
|
| 27 |
+
# Silicone Mask Attack Dataset - 10,000+ Videos
|
| 28 |
10,000+ videos of attacks with Silicone 3D Masks for iBeta 2. The Dataset is designed to address security challenges in liveness detection systems through 3D silicone mask attacks. These presentation attacks are key for testing Passive Liveness Detection systems crucial for iBeta Level 2 certification. This dataset significantly enhances the capabilities of liveness detection models
|
| 29 |
|
| 30 |
+
## Full version of dataset is available for commercial usage - leave a request on our website [Axon Labs](https://axonlab.ai/?utm_source=hugging-face&utm_medium=cpc&utm_campaign=profile&utm_content=profile_link) to purchase the dataset 💰
|
| 31 |
|
| 32 |

|
| 33 |
|