Datasets:
File size: 2,148 Bytes
330bef5 753d3cd 330bef5 fb9e298 330bef5 a445238 330bef5 753d3cd |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 |
---
license: cc-by-4.0
task_categories:
- image-classification
- image-feature-extraction
- image-segmentation
language:
- en
size_categories:
- 1K<n<10K
---
## Liveness Detection: Replay attacks (5K+)
The dataset includes selfies from over 1,000 people. Later, a team of over 200 people made 5,000+ replay display attacks based on these selfies. The attacks provide diversity of lighting, devices, and screens
## Share with us your feedback and recieve additional samples for free!😊
## Full version of dataset is availible for commercial usage - leave a request on our website [Axon Labs](https://axonlabs.pro/) to purchase the dataset 💰
## Dataset Description:
- Over 1,000 individuals shared selfies
- Balanced mix of genders and ethnicities
- More than 5,000 display attacks crafted from these selfies
## Real Life Selfies Description:
- Each person provided one selfie
- Selfies are at least 720p quality
- Faces are clear with no filters
## Replay display attacks description:
- Videos last at least 12 seconds
- Cameras move slowly, showing attacks from various angles
## Potential Use Cases:
- Liveness detection: This dataset is ideal for training and evaluating liveness detection models, enabling researchers to distinguish between selfies and replay display attacks with high accuracy
- Keywords: Display attacks, Antispoofing, Liveness Detection, Spoof Detection, Facial Recognition, Biometric Authentication, Security Systems, AI Dataset, Replay Attack Dataset, Anti-Spoofing Technology, Facial Biometrics, Machine Learning Dataset, Deep Learning |