---
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 sales@trainingdata.pro

More datasets in TrainingData's Kaggle account: **https://www.kaggle.com/trainingdatapro/datasets**

TrainingData's GitHub: **https://github.com/trainingdata-pro**