# 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/data-market**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=face_segmentation) to discuss your requirements, learn about the price and buy the dataset.

## [**TrainingData**](https://trainingdata.pro/data-market?utm_source=huggingface&utm_medium=cpc&utm_campaign=face_segmentation) provides high-quality data annotation tailored to your needs

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

TrainingData's GitHub: **https://github.com/Trainingdata-datamarket/TrainingData_All_datasets**
task_categories:image-segmentation language:en license:cc-by-nc-nd-4.0 code finance region:us
{"language": ["en"], "license": "cc-by-nc-nd-4.0", "task_categories": ["image-segmentation"], "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}}
TAGS
#task_categories-image-segmentation #language-English #license-cc-by-nc-nd-4.0 #code #finance #region-us 

# 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 URL to discuss your requirements, learn about the price and buy the dataset.

## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
# 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 URL to discuss your requirements, learn about the price and buy the dataset. ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
TAGS
#task_categories-image-segmentation #language-English #license-cc-by-nc-nd-4.0 #code #finance #region-us 
 # 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 URL to discuss your requirements, learn about the price and buy the dataset. ## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL
passage: TAGS
#task_categories-image-segmentation #language-English #license-cc-by-nc-nd-4.0 #code #finance #region-us 
# 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 URL to discuss your requirements, learn about the price and buy the dataset.## TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: URL

TrainingData's GitHub: URL