Datasets:
Update README.md
Browse files
README.md
CHANGED
|
@@ -5,9 +5,10 @@ task_categories:
|
|
| 5 |
language:
|
| 6 |
- en
|
| 7 |
tags:
|
| 8 |
-
-
|
| 9 |
-
-
|
| 10 |
-
-
|
|
|
|
| 11 |
dataset_info:
|
| 12 |
features:
|
| 13 |
- name: 2d_mask
|
|
@@ -24,12 +25,14 @@ dataset_info:
|
|
| 24 |
num_examples: 9
|
| 25 |
download_size: 328956415
|
| 26 |
dataset_size: 101123818
|
|
|
|
|
|
|
| 27 |
---
|
| 28 |
|
| 29 |
# Printed 2D Masks Attacks - Biometric Attack dataset
|
| 30 |
The anti spoofing dataset includes 3 different types of files of the real people: original selfies, original videos and videos of attacks with printed 2D masks. The liveness detection dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.
|
| 31 |
|
| 32 |
-
|
| 33 |
|
| 34 |
# Content
|
| 35 |
### The dataset contains of three folders:
|
|
@@ -44,12 +47,8 @@ includes the following information for each media file:
|
|
| 44 |
- **phone_model**: model of the phone, with which selfie and video were shot
|
| 45 |
- **2d_masks**: the link to access the video with the attack with the 2d printed mask
|
| 46 |
|
| 47 |
-
|
| 48 |
|
| 49 |
-
|
| 50 |
-
|
| 51 |
-
More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
|
| 52 |
-
|
| 53 |
-
TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
|
| 54 |
|
| 55 |
*keywords: ibeta level 1, ibeta level 2, liveness detection systems, liveness detection dataset, biometric dataset, biometric data dataset, biometric system attacks, anti-spoofing dataset, face liveness detection, deep learning dataset, face spoofing database, face anti-spoofing, face recognition, face detection, face identification, human video dataset, video dataset, presentation attack detection, presentation attack dataset, 2d print attacks, print 2d attacks dataset, phone attack dataset, face anti spoofing, large-scale face anti spoofing, rich annotations anti spoofing dataset, cut prints spoof attack*
|
|
|
|
| 5 |
language:
|
| 6 |
- en
|
| 7 |
tags:
|
| 8 |
+
- ibeta
|
| 9 |
+
- liveness detection
|
| 10 |
+
- biometric
|
| 11 |
+
- anti-spoofing
|
| 12 |
dataset_info:
|
| 13 |
features:
|
| 14 |
- name: 2d_mask
|
|
|
|
| 25 |
num_examples: 9
|
| 26 |
download_size: 328956415
|
| 27 |
dataset_size: 101123818
|
| 28 |
+
size_categories:
|
| 29 |
+
- 1K<n<10K
|
| 30 |
---
|
| 31 |
|
| 32 |
# Printed 2D Masks Attacks - Biometric Attack dataset
|
| 33 |
The anti spoofing dataset includes 3 different types of files of the real people: original selfies, original videos and videos of attacks with printed 2D masks. The liveness detection dataset solves tasks in the field of anti-spoofing and it is useful for buisness and safety systems.
|
| 34 |
|
| 35 |
+
## 👉 Legally sourced datasets and carefully structured for AI training and model development. Explore samples from our dataset - [Full dataset](https://unidata.pro/datasets/2d-masks-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=2d-printed_masks_attacks)
|
| 36 |
|
| 37 |
# Content
|
| 38 |
### The dataset contains of three folders:
|
|
|
|
| 47 |
- **phone_model**: model of the phone, with which selfie and video were shot
|
| 48 |
- **2d_masks**: the link to access the video with the attack with the 2d printed mask
|
| 49 |
|
| 50 |
+
## 🧩 This is just an example of the data. Leave a request [here](https://unidata.pro/datasets/2d-masks-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=2d-printed_masks_attacks) to learn more
|
| 51 |
|
| 52 |
+
**🚀 You can learn more about our high-quality unique datasets [here](https://unidata.pro/datasets/2d-masks-attacks/?utm_source=huggingface-td&utm_medium=referral&utm_campaign=2d-printed_masks_attacks)**
|
|
|
|
|
|
|
|
|
|
|
|
|
| 53 |
|
| 54 |
*keywords: ibeta level 1, ibeta level 2, liveness detection systems, liveness detection dataset, biometric dataset, biometric data dataset, biometric system attacks, anti-spoofing dataset, face liveness detection, deep learning dataset, face spoofing database, face anti-spoofing, face recognition, face detection, face identification, human video dataset, video dataset, presentation attack detection, presentation attack dataset, 2d print attacks, print 2d attacks dataset, phone attack dataset, face anti spoofing, large-scale face anti spoofing, rich annotations anti spoofing dataset, cut prints spoof attack*
|