4,290 Images – Occluded Human Body Collection Data

Multiple scenes

Multiple age groups

Multiple occluded between human bodies

Multiple human body postures

4,290 Images – Occluded Human Body Collection Data. There are 2-5 occluded human bodies for each images. The age distribution is ranging from children to the elderly, the middle-aged and young people are the majorities. The race distribution is Asian. The data diversity includs multiple scenes, multiple age groups, multiple occluded between human bodies, multiple human body postures. The data can be used for tasks such as occluded human body detection and segmentation.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

Specifications

Data size

4,290 images, there are 2-5 occluded human bodies for each images

Polution distribution

gender distribution: male, female; age distribution: ranging from children to the elderly, the middle-aged and young people are the majorities; race distribution: Asian, including Vietnamese, Filipinos, Indonesians, Koreans, Mongolians

Collecting environment

indoor scenes, outdoor scenes

Collecting type

be photographed, selfie

Data diversity

including multiple scenes, multiple age groups, multiple occluded between human bodies, multiple human body postures

Device

cellphone

Data format

the image data format is .jpg

Annotation content

different occluded between human bodies data were collected

Accuracy rate

According to the collection content, the collecting accuracy is over 97%

Recommended Dataset

1,196 People Diverse Face Dataset – Multi-Race & Multi-Pose Images and Videos

1,196 People Diverse Face Dataset – Multi-Race & Multi-Pose Images and Videos, This dataset contains face images and videos of 1,196 participants across multiple races and poses. Each person contributes 22 images and 40 videos. The collection environment includes indoor and outdoor scenes. This data can be used for face recognition and other tasks.

biometric face dataset face dataset for AI training face recognition dataset multi-race face dataset diverse face dataset

1,995 People Face Images Data (Asian race)

1,995 People Face Images Data (Asian race). For each subject, more than 20 images per person with frontal face were collected. This data can be used for face recognition and other tasks.

Human Face Multiple Images per person Asian race

1,507 People 102,476 Images Multi-pose and Multi-expression Face Data

1,507 People 102,476 Images Multi-pose and Multi-expression Face Data. The data includes 1,507 Asians (762 males, 745 females). For each subject, 62 multi-pose face images and 6 multi-expression face images were collected. The data diversity includes multiple angles, multiple poses and multple light conditions image data from all ages. This data can be used for tasks such as face recognition and facial expression recognition.

Multiple face poses Multiple expressions Different ages Different light conditions Different scenes

110 People Face Image Dataset – Multi-Angle, Multi-Light, Multi-Expression, Annotated

The 110 People – Human Face Image Data is gathered through camera shot involving 110 participants, with a proper balance of gender ratio and age group distribution covering major skin tones. Each person contributes 2100 pictures with glasses/ no glasses, expressions, camera shooting angle, and lighting conditions. All Attributes are annotated such as gender, age, expression, etc. The overall accuracy rate is ≥ 97%.This dataset is suitable for face recognition, facial expression analysis, and AI training.

multi-angle face dataset annotated human face dataset human face dataset age and gender annotated face dataset AI training face recognition dataset facial expression recognition dataset

30,696 Pairs – Portrait Retouching Before & After Image Dataset

This dataset collection scenarios include indoor and outdoor scenes, the country distribution is Algeria, Egypt, Hungary, Poland, and Japan. Data types include portrait photos and wedding photos. In terms of data annotation, detailed retouching and annotationing are performed on the collected studio portrait data. The data can be used for tasks such as raining models for portrait retouching, photo editing, and studio photography applications.

portrait retouching dataset before after portrait images studio portrait retouching dataset portrait segmentation dataset wedding photo retouch dataset PS retouching dataset AI portrait editing dataset image retouching training dataset

4,484 People – Multi-Race Infrared Face Recognition Dataset

The collecting scenes of this dataset include indoor scenes and outdoor scenes. The data includes male and female. The race distribution includes Asian, Black, Caucasian and Brown people. The age distribution ranges from children to elderly. The collecting device is DV-DH4,044S305AD. The data diversity includes multiple age periods, multiple facial postures, multiple scenes. The data can be used for tasks such as AI-based infrared facial recognition and biometric authentication. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

infrared face recognition dataset multi-race face dataset thermal face recognition dataset AI face recognition training data multi-age face recognition datase biometric infrared dataset facial posture variation dataset computer vision face recognition dataset high-diversity face recognition dataset

500,605 Individual Face Images Dataset – Multi-Race & Multi-Age

This dataset contains 500,605 individual face images, with each person represented by a single image. The race distribution includes Asian, Black, Caucasian and Brown individuals, the age distribution is ranging from infant to the elderly, the middle-aged and young people are the majorities. Images were collected in both indoor and outdoor environments, capturing diverse facial expressions, postures, and lighting conditions. The data can be used for tasks such as face recognition, biometric authentication, and computer vision model training. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

face recognition dataset individual face images dataset multi-age face dataset AI facial recognition training dataset indoor outdoor face images dataset facial posture variation dataset biometric face dataset computer vision face dataset

Face Recognition Dataset – 10,109 People with Multi-angle Face Images and Demographic Labels

This large-scale face image dataset features 10,109 individuals from various countries and ethnic backgrounds. Each subject has been captured in multiple real-world scenarios, resulting in diverse facial images under varying angles, lighting conditions, and expressions. Detailed annotations include gender, race, and age, making the dataset suitable for tasks such as facial recognition, face clustering, demographic analysis, and machine learning model training. The dataset has been validated by multiple AI companies and proven to deliver strong performance in real-world applications. All data collection, storage, and processing strictly adhere to global data protection regulations, including GDPR, CCPA, and PIPL, ensuring legal compliance and privacy preservation.

face recognition dataset face image dataset demographic face data age gender race face dataset face dataset for AI face clustering dataset multi-ethnic face images large-scale face dataset human face dataset