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Computer Vision Datasets

Instantly enhance AI model performance with high quality off-the-shelf datasets.

Task Type

All
42
Age
2
Clothing Detection
2
Clothing Segmentation
1
Event Detection
9
Expression
6
Face Anti-spoofing
6
Face Recognition
29
Face Segmentation
1
Facial Landmark
4
Gait Recognition
3
Garbage Classification
1
Gesture Recognition
6
Human Body Attribute
4
Human Body Detection
6
Human Body Landmark
3
Human Body Segmentation
7
Human Body Tracking
3
Human Pose
25
Image Processing
1
Infrared Face
1
Makeup
1
Object Detection and Classification
3
Occluded Face
2
Others
23
Person Re-Identification
4
Pet Recognition
2
Refined Urban Management
4
Scene Understanding
4
Skin Defects
1
Unlabeled Data
11
Vehicle Re-Identification
1
Vehicle Recognition
2
3D Face
4

Modalities

All
42
Image
86
Video
46

1,417 People – 3D Living_Face & Anti_Spoofing Data

1,417 People – 3D Living_Face & Anti_Spoofing Data. The collection scenes include indoor and outdoor scenes. The dataset includes males and females. The age distribution ranges from juvenile to the elderly, the young people and the middle aged are the majorities. The device includes iPhone X, iPhone XR. The data diversity includes various expressions, facial postures, anti-spoofing samples, multiple light conditions, multiple scenes. This data can be used for tasks such as 3D face recognition, 3D Living_Face & Anti_Spoofing.
3D Living_Face & Anti_Spoofing various expressions facial postures anti-spoofing samples multiple light conditions multiple scenes

1,056 People Living_Face & Anti-Spoofing Data

1,056 People Living_face & Anti-Spoofing Data. 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.
Living_face & Anti-Spoofing data face multiple races multiple postures multiple expressions multiple scenes multiple anti-spoofing samples multiple age groups

23,110 People Multi-race and Multi-pose Face Images Data

23,110 People Multi-race and Multi-pose Face Images Data. This data includes Asian race, Caucasian race, black race, brown race and Indians. Each subject were collected 29 images under different scenes and light conditions. The 29 images include 28 photos (multi light conditions, multiple poses and multiple scenes) + 1 ID photo. This data can be used for face recognition related tasks.
Multi-race Multiple light conditions Multi-pose Multi scenes Face Recognition

4,484 People Multi-race – Infrared Face Recognition Data

4,484 people multi-race – infrared face recognition data. 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 child to the elderly, the young people and the middle aged are the majorities. 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 infrared face recognition. 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.
Multi-race infrared face binocular camera multiple age periods multiple facial postures multiple scenes

1,196 People Multi-race and Multi-pose Face Images & Videos Data

1,196 People Multi-race and Multi-pose Face Images & Videos Data, 22 images and 40 videos per person. The collection environment includes indoor and outdoor scenes. This data can be used for face recognition and other tasks.
Multiple poses Face recognition Multiple races data

399 Asians - 35,112 Images Multi-pose Face Data with 21 Facial Landmarks Annotation

The 399 Asians - 35,112 Images Multi-pose Face Data with 21 Facial Landmarks Annotation data is collected from 399 people. The data diversity includes multiple poses, different ages, different light conditions and multiple scenes. This data can be used for tasks such as face detection and face recognition. Thee accuracy of labels of gender, face pose, year of birth, light condition, scene and wearing glasses or not is more than 97%;annotation accuracy of facial landmarks is more than 97%
21 facial landmarks Face detection Face recognition facial key point dataset facial landmark

500,605 Images - Individual Photo Face Data

500,605 Images - Individual Photo Face Data. One person have one face image. The race distribution includes Asian, Black, Caucasian and brown people, the age distribution is ranging from infant to the elderly, the middle-aged and young people are the majorities. The collection environment includes indoor and outdoor scenes. The data diversity includes multiple age periods, multiple scenes, multiple facial postures and multiple expressions. The data can be used for tasks such as face recognition. 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.
Million id foreign face single image

7,788 People 80,336 Images Cross-age Faces Data

7,788 People 80,336 Images Cross-age Faces Data. The data includes several images for one person, different scenes(indoor and outdoor scenes) and different ages. The data covers male and female, each person has at least 7 images, the age span is from 2 to 52 years. The data can be used for tasks such as cross-age face recognition.
cross-age face data several images for one person different scenes different ages

10,109 People - Face Images Dataset

10,109 people - face images dataset includes people collected from many countries. Multiple photos of each person’s daily life are collected, and the gender, race, age, etc. of the person being collected are marked.This Dataset provides a rich resource for artificial intelligence applications. It has been validated by multiple AI companies and proves beneficial for achieving outstanding performance in real-world applications. Throughout the process of Dataset collection, storage, and usage, we have consistently adhered to Dataset protection and privacy regulations to ensure the preservation of user privacy and legal rights. All Dataset comply with regulations such as GDPR, CCPA, PIPL, and other applicable laws.
Face detection Multi-pose face Head pose Face pose
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Why off-the-shelf Datasets

  • Copyright

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    Clear Coyright and Ready to Check
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    Properly Authorized Secure to Use
  • Professional

    Professional

    Designed and produced by AI data experts
  • Diversity

    Diversity

    Collected from a varity of real scenes
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    Cost Effective

    More Cost-Efficient Than Tailored Data
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