Datasets:
license: cc-by-nc-nd-4.0
task_categories:
- image-segmentation
language:
- en
tags:
- ibeta
- replay attack
- video
- liveness detection
- biometric
- anti-spoofing
dataset_info:
features:
- name: image
dtype: image
- name: mask
dtype: image
- name: id
dtype: string
- name: gender
dtype: string
- name: age
dtype: int8
splits:
- name: train
num_bytes: 44991960
num_examples: 20
download_size: 44094250
dataset_size: 44991960
size_categories:
- 10K<n<100K
Face segmentation
An example of a dataset that we've collected for a photo edit App. The dataset includes 20 selfies of people (man and women) in segmentation masks and their visualisations.
The dataset is created on the basis of iBeta Level 1 Dataset
File with the extension .csv
includes the following information for each media file:
- Image: the link to access the media file
- Mask: the link to access the segmentation mask for the Image
The folder "images"
Contains the original selfies of people.
The folder "masks"
Includes segmentation masks for the photos:
- corresponding to the images in the previous folder
- identified by the same file names.
How it works: go to the "masks" folder and make sure that the file "1.png" is a segmentation mask of the selfi, created for the photo "1.png" in the "images" folder.
👉 Legally sourced datasets and carefully structured for AI training and model development. Explore samples from our dataset of 25,000+ human images & videos - Full dataset
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