---
license: cc-by-nc-nd-4.0
task_categories:
- image-segmentation
language:
- en
tags:
- code
- medical
---
# Bald People Segmentation Dataset

The dataset consists of images of bald people and corresponding segmentation masks. 

Segmentation masks highlight the regions of the images that delineate the bald scalp. By using these segmentation masks, researchers and practitioners can focus only on the areas of interest.

The dataset is designed to be accessible and easy to use, providing high-resolution images and corresponding segmentation masks in PNG format. 

# Get the Dataset

### This is just an example of the data

Contact us via **[sales@trainingdata.pro](mailto:sales@trainingdata.pro)** or leave a request on **[https://trainingdata.pro/data-market](https://trainingdata.pro/data-market?utm_source=huggingface)** to discuss your requirements, learn about the price and buy the dataset 

# Content
### The dataset includes 2 folders:
- **Female** - the folder includes folders corresponding to each woman in the sample. Each of the subfolders contains of top images of women's heads and segmentation masks for the original photos. 
- **Male** - the folder includes folders corresponding to each man in the sample. Each of the subfolders contains of front and top images of men's heads from and segmentation masks for the original photos. 

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F12421376%2F799b481d0bd964f0b78e15159d6f7267%2FMacBook%20Air%20-%201.png?generation=1691150402722829&alt=media)

### File with the extension .csv
- **link**: link to access the media file,
- **type**: type of the image,
- **gender**: gender of the person in the photo

# Bald People Segmentation might be made in accordance with your requirements.

## **[TrainingData](https://trainingdata.pro/data-market?utm_source=huggingface)** 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**