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---
license: cc-by-nc-nd-4.0
task_categories:
- image-segmentation
language:
- en
tags:
- code
- finance
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
---
# 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.
# 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.*
This sample is an example of a dataset that we create on demand in Training Data https://trainingdata.pro/data-market?utm_source=huggingface specifically for your task.
To get a consultion and order a pilot project, please contact our sales team by submitting a request on our website or emaling us at [email protected]
More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**
TrainingData's GitHub: **https://github.com/trainingdata-pro** |