Computer Vision Datasets

2,255 Images – Multi-Race Human Body Semantic Segmentation Dataset

This dataset includes 2,255 images of 451 people across multiple races. The semantic segmentation area includes headphones, glasses, body and background.This dataset can be used for training AI models in human body segmentation, video conference behavior detection, and smart vision applications.

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Driver Monitoring Dataset – 7 Facial Expressions from 821 Drivers

This dataset contains facial expression recognition data from 821 drivers, recorded under different ages, time periods, and expression variations. In terms of acquisition equipment, RGB and infrared binocular cameras are used. This dataset of driver expression recognition data can be used for driver monitoring systems (DMS), driver fatigue and drowsiness detection, In-cabin behavior analysis and other tasks.

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844 Drivers – Driver Behavior Recognition Dataset (RGB & IR)

This dataset includes diverse drivers across multiple ages, time periods, and lighting conditions, with annotated behaviors including dangerous driving, fatigue, and visual movement behaviors. In terms of device, binocular cameras of RGB and infrared channels were applied. This data can be used for tasks such as driver behavior analysis, fatigue and drowsiness detection, dangerous driving recognition and driver attention and visual movement monitoring.

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717K Cat & Dog Images – Animal Face Recognition Dataset

This dataset contains 91,882 unique cat and dog face IDs, including 38,099 cats and 53,783 dogs. The dataset is suitable for animal face recognition, cat and dog identification.

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888 Images – Alpha Matting Human Segmentation Dataset

This dataset contains 888 human images collected across diverse indoor and outdoor scenes. It covers multiple age groups, body orientations, and human poses. Each human figure is annotated with an alpha matte. The data can be used for tasks such as human matting, human body segmentation, image segmentation.

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415 People Living Face & Anti-Spoofing Dataset – Multi-Scene, Multi-Expression

415 People Living Face & Anti-Spoofing Dataset – Multi-Scene, Multi-Expression. The collection scenes include indoor and outdoor scenes. The data includes male and female. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. The data includes multiple postures, multiple expressions, and multiple anti-spoofing samples. The data can be used for tasks such as face payment, remote ID authentication, and face unlocking of mobile phone.

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Human Activity Recognition Dataset – 2,241 People, 23 Actions, Online Conference Scenes

This dataset collected from 2,241 people in online conference scenarios, Participants include Southeast Asians, Caucasian, Black, Brown individuals, mainly young and middle-aged people. Data was collected from a variety of indoor office scenes, covering meeting rooms, coffee shops, library, bedroom, etc. Each participant contributed 23 videos covering actions like opening the mouth, turning the head, closing the eyes, and touching the ears, with 4 images featuring variations such as wearing a mask and sunglasses.This dataset is suitable for tasks such as human activity recognition, human action recognition, human pose estimation, gesture recognition, mask detection, and AI applications in video conferencing and virtual meetings.

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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.

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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.

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