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.
Get the dataset
This is just an example of the data
Leave a request on https://trainingdata.pro/datasets to discuss your requirements, learn about the price and buy the dataset.
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TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets
keywords: head segmentation dataset, face-generation, semantic segmentation, face parts recognition, human faces, portrait segmentation, human face extraction, image segmentation, annotation, biometric dataset, biometric data dataset, face recognition database, facial recognition, face forgery detection, face shape, facial gestures, ar, augmented reality, face recognition dataset, face detection dataset, facial analysis, human images dataset