The viewer is disabled because this dataset repo requires arbitrary Python code execution. Please consider
removing the
loading script
and relying on
automated data support
(you can use
convert_to_parquet
from the datasets
library). If this is not possible, please
open a discussion
for direct help.
Hair Detection & Segmentation Dataset
The dataset consists of images of people for detection and segmentation of hairs within the oval region of the face. It primarily focuses on identifying the presence of hair strands within the facial area and accurately segmenting them for further analysis or applications.
The dataset contains a diverse collection of images depicting people with different hair styles, colors, lengths, and textures. Each image is annotated with annotations that indicate the boundaries and contours of the individual hair strands within the oval of the face.
๐ด For Commercial Usage: To discuss your requirements, learn about the price and buy the dataset, leave a request on TrainingData to buy the dataset
The dataset can be utilized for various purposes, such as developing machine learning models or algorithms for hair detection and segmentation. It can also be used for research in facial recognition, virtual try-on applications, hairstyle recommendation systems, and other related areas.
Dataset structure
- images - contains of original images of people
- masks - includes segmentation masks for the original images
- collages - includes original images with colored hairs within the oval of the face
- annotations.xml - contains coordinates of the bounding boxes and labels, created for the original photo
Data Format
Each image from images
folder is accompanied by an XML-annotation in the annotations.xml
file indicating the coordinates of the bounding boxes and labels for parking spaces. For each point, the x and y coordinates are provided.
Tags for the images:
- is_hair - hair area
- no_hair - area of no hair
Example of XML file structure
Hair Detection & Segmentation might be made in accordance with your requirements.
๐ด Buy 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
TrainingData 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
keywords: biometric dataset, biometric data dataset, face recognition database, face recognition dataset, face detection dataset, facial analysis, human images dataset, hair detection, hair segmentation,human hair segmentation, image segmentation, images dataset, computer vision, deep learning dataset, scalp, augmented reality, ar
- Downloads last month
- 49