Datasets:
Commit
•
8a5d420
1
Parent(s):
81102f4
Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,48 @@
|
|
| 1 |
-
---
|
| 2 |
-
license: cc-by-nc-nd-4.0
|
| 3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-nc-nd-4.0
|
| 3 |
+
task_categories:
|
| 4 |
+
- video-classification
|
| 5 |
+
tags:
|
| 6 |
+
- ibeta
|
| 7 |
+
- fraud detection
|
| 8 |
+
- face recognition
|
| 9 |
+
- deep learning
|
| 10 |
+
- computer vision
|
| 11 |
+
- pad
|
| 12 |
+
- ' ISO 30107-3'
|
| 13 |
+
- presentation attacks
|
| 14 |
+
- liveness detection
|
| 15 |
+
size_categories:
|
| 16 |
+
- 10K<n<100K
|
| 17 |
+
---
|
| 18 |
+
|
| 19 |
+
# iBeta Level 2 Dataset: Presentation Attacks Liveness Detection & Verifications
|
| 20 |
+
The dataset consists of more than **32,300** spoofing attacks of **6** different types specifically curated for a passing **iBeta Level 2** and getting a certification. It is compliant with the **ISO 30107-3** standard, which sets the highest quality requirements for biometric testing and attack detection solutions.
|
| 21 |
+
|
| 22 |
+
By geting the **iBeta Level 2 certification**, biometric technology companies demonstrate their commitment to developing robust and reliable biometric systems that can effectively detect and prevent fraud -
|
| 23 |
+
**[Get the data](https://unidata.pro/datasets/ibeta-level-2-video-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=ibeta-level-2)**
|
| 24 |
+
|
| 25 |
+
## Attacks in the dataset
|
| 26 |
+
.png?generation=1725872087101598&alt=media)
|
| 27 |
+
|
| 28 |
+
This dataset is designed to evaluate the performance of biometric authentication and identity recognition technology in detecting presentation attacks, it includes different pad tests.
|
| 29 |
+
|
| 30 |
+
**Videos in the dataset**:
|
| 31 |
+
1. **Real Person**: real videos of people
|
| 32 |
+
2. **2D Mask**: printed photos of people's faces cut out along the contour
|
| 33 |
+
3. **2D Mask with Eyeholes**: printed photos of people with holes for eyes
|
| 34 |
+
4. **Latex Mask**: latex masks on people
|
| 35 |
+
5. **Wrapped 3D Mask**: 3D cardboard mask attached to a mannequin
|
| 36 |
+
6. **Silicone Mask**: silicone masks on people
|
| 37 |
+
|
| 38 |
+
# 💵 Buy the Dataset: This is a limited preview of the data. To access the full dataset, please contact us at [https://unidata.pro](https://unidata.pro/datasets/ibeta-level-2-video-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=ibeta-level-2) to discuss your requirements and pricing options.
|
| 39 |
+
|
| 40 |
+
## Metadata for the dataset
|
| 41 |
+
Devices: **Mi10s, Google Pixel 4, Samsung Galaxy A03s, iPhone 11, iPhone SE 2**
|
| 42 |
+
|
| 43 |
+
Resolution: **1920 x 1080** and higher
|
| 44 |
+
|
| 45 |
+
|
| 46 |
+
The iBeta Level 2 dataset is an essential tool for the biometrics industry, as it helps to ensure that biometric systems meet the highest standards of anti-spoofing technology. This dataset is used by various biometric companies in various applications and products to test and improve their *biometric authentication solutions, face recognition systems and facial liveness detection methods.*
|
| 47 |
+
|
| 48 |
+
# 🌐 [UniData](https://unidata.pro/datasets/ibeta-level-2-video-attacks/?utm_source=huggingface&utm_medium=cpc&utm_campaign=ibeta-level-2) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
|