Datasets:
Upload folder using huggingface_hub
Browse files- .gitattributes +59 -0
- README.md +48 -0
- UniData_iBeta_Level_2.pdf +3 -0
- files/2D Mask with Eyeholes/mask_1.mp4 +3 -0
- files/2D Mask with Eyeholes/mask_2.mp4 +3 -0
- files/2D Mask with Eyeholes/mask_3.mp4 +3 -0
- files/2D Mask with Eyeholes/mask_4.mp4 +3 -0
- files/2D Mask with Eyeholes/mask_5.mp4 +3 -0
- files/2D Mask/outline_1.mp4 +3 -0
- files/2D Mask/outline_2.mp4 +3 -0
- files/2D Mask/outline_3.mp4 +3 -0
- files/2D Mask/outline_4.mp4 +3 -0
- files/2D Mask/outline_5.mp4 +3 -0
- files/Latex Mask/latex_1.mp4 +3 -0
- files/Latex Mask/latex_2.mp4 +3 -0
- files/Latex Mask/latex_3.mp4 +3 -0
- files/Latex Mask/latex_4.mp4 +3 -0
- files/Latex Mask/latex_5.mp4 +3 -0
- files/Real Person/real_1.mp4 +3 -0
- files/Real Person/real_2.mp4 +3 -0
- files/Real Person/real_4.mp4 +3 -0
- files/Real Person/real_5.mp4 +3 -0
- files/Real Person/real_6.mp4 +3 -0
- files/Silicone Mask/silicone_1.mp4 +3 -0
- files/Silicone Mask/silicone_2.mp4 +3 -0
- files/Silicone Mask/silicone_3.mp4 +3 -0
- files/Silicone Mask/silicone_4.mp4 +3 -0
- files/Silicone Mask/silicone_5.mp4 +3 -0
- files/Wrapped 3D Mask/wrap3d_1.mp4 +3 -0
- files/Wrapped 3D Mask/wrap3d_2.mp4 +3 -0
- files/Wrapped 3D Mask/wrap3d_3.mp4 +3 -0
- files/Wrapped 3D Mask/wrap3d_4.mp4 +3 -0
- files/Wrapped 3D Mask/wrap3d_5.mp4 +3 -0
- ibeta_info.csv +7 -0
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UniData_iBeta_Level_2.pdf filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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license: cc-by-nc-nd-4.0
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task_categories:
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- video-classification
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tags:
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- ibeta
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- fraud detection
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- face recognition
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- deep learning
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- computer vision
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- pad
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- ' ISO 30107-3'
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- presentation attacks
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- liveness detection
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size_categories:
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- 10K<n<100K
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---
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# iBeta Level 2 Dataset: Presentation Attacks Liveness Detection & Verifications
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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.
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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 -
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**[Get the data](https://unidata.pro/datasets/ibeta-level-2-video-attacks/?utm_source=huggingface&utm_medium=referral&utm_campaign=ibeta-level-2)**
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## Attacks in the dataset
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.png?generation=1725872087101598&alt=media)
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This dataset is designed to evaluate the performance of biometric authentication and identity recognition technology in detecting presentation attacks, it includes different pad tests.
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**Videos in the dataset**:
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1. **Real Person**: real videos of people
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2. **2D Mask**: printed photos of people's faces cut out along the contour
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3. **2D Mask with Eyeholes**: printed photos of people with holes for eyes
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4. **Latex Mask**: latex masks on people
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5. **Wrapped 3D Mask**: 3D cardboard mask attached to a mannequin
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6. **Silicone Mask**: silicone masks on people
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# 💵 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=referral&utm_campaign=ibeta-level-2) to discuss your requirements and pricing options.
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## Metadata for the dataset
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Devices: **Mi10s, Google Pixel 4, Samsung Galaxy A03s, iPhone 11, iPhone SE 2**
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Resolution: **1920 x 1080** and higher
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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.*
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# 🌐 [UniData](https://unidata.pro/datasets/ibeta-level-2-video-attacks/?utm_source=huggingface&utm_medium=referral&utm_campaign=ibeta-level-2) provides high-quality datasets, content moderation, data collection and annotation for your AI/ML projects
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UniData_iBeta_Level_2.pdf
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files/2D Mask with Eyeholes/mask_1.mp4
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oid sha256:7df2113d4a750320b1b28db2ac633ae575f18a797f6928d4bc843a8193176ec8
|
| 3 |
+
size 5958590
|
files/Real Person/real_6.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b7967069db55fc11d74220bf5c2cca542e835de73a3062868ffa49148f410dbb
|
| 3 |
+
size 6357918
|
files/Silicone Mask/silicone_1.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:d5e6d5ccbbb15e378453a57576d43d00c1cab07f5f941b1476f10cbdf9d7d073
|
| 3 |
+
size 6179069
|
files/Silicone Mask/silicone_2.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3e528151d0921b98304112696485ab3b4a1dd6e67e200be664792f2f9e4a2ccd
|
| 3 |
+
size 1981002
|
files/Silicone Mask/silicone_3.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e766b963909693ffca5b5968b2dcbe9e05dea8430bd74779bc826c6dbec10276
|
| 3 |
+
size 7344994
|
files/Silicone Mask/silicone_4.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cc87d071b66038724fb79c20a5bf691a719ee6717b9fe151292f98b3c795fbd1
|
| 3 |
+
size 6057870
|
files/Silicone Mask/silicone_5.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:8984bfd31b683932d51e69301ddfe4f466609f798080d160816772c94d9404ee
|
| 3 |
+
size 705415
|
files/Wrapped 3D Mask/wrap3d_1.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:527bd12e1a6e70e6fd6b0fa01e4a37708c639168a2f970123c6cfb4ce7602b36
|
| 3 |
+
size 13505538
|
files/Wrapped 3D Mask/wrap3d_2.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a71b0d1450bb8b86f3a24cdf41b16f787f95c8b912f4ac29c68b8f34e2533bb2
|
| 3 |
+
size 5895458
|
files/Wrapped 3D Mask/wrap3d_3.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6d392709cee40f53a27a911b87181b46e514d08fddb8196ebc4356922e4fab91
|
| 3 |
+
size 1980528
|
files/Wrapped 3D Mask/wrap3d_4.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9d2b2feb5136e92cb9a09be48c0e1e87a4c394aea334df1a1e9098ad23bf3109
|
| 3 |
+
size 833456
|
files/Wrapped 3D Mask/wrap3d_5.mp4
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ba5db444ae72c3ca6d1ae238965aa28213931345524d0d76ba83975863aa5af4
|
| 3 |
+
size 842256
|
ibeta_info.csv
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
attack_type,description
|
| 2 |
+
latex,attacks with latex masks
|
| 3 |
+
mask,printed photos of people with holes for eyes
|
| 4 |
+
outline,printed photos of people cut out along the contour
|
| 5 |
+
real,real videos of people
|
| 6 |
+
silicone,attacks with silicone masks
|
| 7 |
+
wrap3d,cardboard mask attached to a mannequin
|