The Only Baldness Dataset on the Internet: 200,000 Portraits of All Kinds of Baldness
Recently, we found a unique bald portrait dataset in the Kaggle dataset. The author compiled 200,000 bald portraits, with a total size of 1.3 G.
You’ve seen plant image datasets and celebrity face datasets, but have you ever seen one specifically for classifying and identifying bald people?
An Indian student, Ashish Jangra, recently released a dataset called "Bald Classification Dataset" on Kaggle.
It is reported that the Bald Classification Dataset was released by Ashish Jangra in May this year.
The dataset contains 200,000 images of bald people, divided into test set, training set, and validation setThere are three folders, each folder also contains two images: Bald and NotBald.
The source of the bald portrait dataset is mainly public figures in Europe and the United States, including people from the political, business, entertainment and sports circles.
Bald Classification Dataset
Published by: Ashish Jangra
Quantity included:200,000 bald portraits
Data format:JPG
Data size:1.3 G
Release time:May 2020
Download address:https://orion.hyper.ai/datasets/12385
Dataset author: Indian guy with amazing hair volume
The publisher Ashish Jangra is also a person who can't stop. He was born in 1995 and started studying computer science at Lovely Professional University in 2016.
I learned Python and machine learning through Udacity, Coursera, and many open source courses.
He also uploaded his own teaching courses on YouTube, including a 70-minute introductory course on computer vision and a course on best practices for face recognition with masks.
Author's personal homepage:https://ashishjangra.com/
Baldness dataset, how to use it?
Now that the dataset has been downloaded, the question is how to use it. We have designed several usage scenarios for this dataset:
Calculate the "baldness rate" of the target area
By training the baldness dataset, we can quickly calculate the "baldness rate" in the target area in a group photo, video, or regional street view.
It is possible to derive metaphysical factors such as the daily routines, aesthetic habits, professional background, etc. of a certain type of people in a region. Companies or schools can also use the statistics of "baldness rate" as a reference for evaluating the annual contribution teams/laboratories.
Determination of the course of pathological hair loss
In the dermatology, endocrinology, and hair loss clinics, assist doctors in determining the course of pathological hair loss.
Although doctors can see it at a glance, a judgment result based on artificial intelligence can also convince patients and make them no longer stubborn.
Sales Lead Tool for Hair Transplant Clinic
We often see advertisements for Yongx Hair Transplant and KeXyuan in subways and elevators. We believe that this tool can also effectively help hair transplant institutions find sales leads faster.
Whether it is finding the target group in a dense crowd or comparing the density of target groups between specific areas, you can try it.
How to download this dataset?
In addition to being able to access the original author's Kaggle project homepage, we have also moved the entire dataset back.
access https://orion.hyper.ai Home page, search for the keyword bald, or visit directly https://orion.hyper.ai/datasets/12385
The dataset can be found byDirect link, magnet link, BT seed, REST API Download by other download methods.
Such a good data set, why not download it and take a look?
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