AxonData commited on
Commit
709b187
·
verified ·
1 Parent(s): 62c23b3

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +4 -3
README.md CHANGED
@@ -11,10 +11,12 @@ tags:
11
  size_categories:
12
  - 1K<n<10K
13
  ---
14
- Silicone Mask Biometric Attack Dataset
15
  Anti spoofing dataset with Silicone 3D mask attacks (7000 videos)
16
 
17
- This is a demo version, full dataset is coming soon. Share with us your feedback and recieve additional samples for free!😊
 
 
18
  Introduction
19
  The Silicone Mask Attack 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
20
 
@@ -31,7 +33,6 @@ Dataset Features
31
 
32
  • Additional Flexibility: We can recreate this dataset using both RGB and USB camera inputs to accommodate various research needs.
33
 
34
- Full version of dataset is availible for commercial usage - leave a request on our website Axonlabs to purchase the dataset 💰
35
 
36
  Technical Specifications
37
  • File Format: Videos are formatted to be compatible with mainstream ML frameworks.
 
11
  size_categories:
12
  - 1K<n<10K
13
  ---
14
+ # Silicone Mask Biometric Attack Dataset
15
  Anti spoofing dataset with Silicone 3D mask attacks (7000 videos)
16
 
17
+ ## This is a demo version, full dataset is coming soon. Share with us your feedback and recieve additional samples for free!😊
18
+ ## Full version of dataset is availible for commercial usage - leave a request on our website [Axon Labs](https://http://axonlabs.pro/) Axonlabs to purchase the dataset 💰
19
+
20
  Introduction
21
  The Silicone Mask Attack 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
22
 
 
33
 
34
  • Additional Flexibility: We can recreate this dataset using both RGB and USB camera inputs to accommodate various research needs.
35
 
 
36
 
37
  Technical Specifications
38
  • File Format: Videos are formatted to be compatible with mainstream ML frameworks.