Bald Face Recognition Image Dataset

#face recognition #image classification #computer vision #security inspection systems #surveillance equipment #identity verification
  • 500 records
  • 1.3G
  • JPG
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-02-04

AI Analysis & Value Prop

In the field of security protection, recognizing bald faces presents challenges. Traditional face recognition systems easily fail under complex lighting conditions, particularly when processing images of bald individuals. Existing solutions often lack specific optimization for bald faces, leading to limitations in recognition speed and accuracy. This dataset aims to address the accurate recognition of bald faces by providing diverse bald face images to enhance model recognition performance and security capabilities. The data is collected using high-definition camera equipment in various scenarios and lighting conditions, including outdoor daylight and indoor low light, ensuring data diversity and high quality. Multiple rounds of manual annotation and consistency checks are conducted for quality control, with reviews by facial recognition experts. The team has a strong background in computer vision, with a scale exceeding 20 people. Data preprocessing includes steps like image denoising and color correction, stored in JPG format and organized by lighting conditions for easy lookup and use.

Dataset Insights

Sample Examples

6f85a3bd**.jpg|1024*1536|91.84 KB

ad525a61**.jpg|1024*1536|105.23 KB

9b98f22d**.jpg|1024*1536|101.78 KB

53ca906c**.jpg|1024*1536|95.91 KB

a0624283**.jpg|1024*1536|80.36 KB

Technical Specifications

FieldTypeDescription
file_namestringFile name
qualitystringResolution
face_countintegerThe number of recognizable faces in the image.
head_shapestringThe shape characteristics of the person's head in the image, such as round, oval, etc.
presence_of_glassesbooleanIndicates whether the person in the image is wearing glasses.
beard_presencebooleanIndicates whether the person in the image has a beard.
skin_tonestringThe skin tone characteristics of the person in the image, such as fair, brown, black, etc.
facial_expressionstringThe facial expression of the person in the image, such as smiling, serious, etc.
image_brightnessfloatThe overall brightness level of the image.
image_contrastfloatThe overall contrast level of the image.
hat_presencebooleanIndicates whether the person in the image is wearing a hat.
background_clarityfloatThe clarity of the background, with high values indicating very clear backgrounds and low values indicating blurriness.

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What is the Bald Face Recognition Image Dataset?
The Bald Face Recognition Image Dataset is an image dataset focused on improving the accuracy of bald face recognition and security protection applications.
What is the main purpose of the Bald Face Recognition Image Dataset?
The main purpose of this dataset is to improve the accuracy of bald face recognition systems, suitable for various applications in the security protection field.
Which industry sectors are suitable for the Bald Face Recognition Image Dataset?
This dataset is suitable for the security protection sector, especially in situations that require the recognition of bald faces.
Why does bald face recognition require a specialized dataset?
Bald faces may face unique challenges during detection and recognition, so a specialized dataset is needed to improve the accuracy of recognition systems.
How does the Bald Face Recognition Image Dataset enhance security protection?
By improving the precision of bald face recognition, this dataset helps strengthen security systems, allowing for more accurate identification and response to potential threats.

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Cite this Work

@dataset{Mobiusi2026,
  title={Bald Face Recognition Image Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/c8dbfff475818c834fb0bac377ea10ea},
  urldate={2026-02-04},
  keywords={bald recognition dataset, face recognition images, security protection dataset},
  version={1.0}
}

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