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Computer Vision Datasets

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

Task Type

All
21
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
21
Image
86
Video
46

87,871 Images of 106 Facial Landmarks Annotation Data (complicated scenes)

87,871 Images of 106 Facial Landmarks Annotation Data (complicated scenes),this dataset includes yellow race, black race, white race and Indian people. In order to be more challenging, the data includes multiple scenes, multiple poses, different ages, light conditions and complicated expressions. This data can be used for tasks such as face detection and face recognition.
106 Facial landmarks Multi-race Multi-expression Facial attributes Complicated scenes

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

1,142 People Facial Expression Data in Online Conference Scenes

1,142 people facial expression data in online conference scenes, including Asian, Caucasian, black, and brown multitasking, mainly young and middle-aged, collected a variety of indoor office scenes, covering meeting rooms, coffee shops, libraries , bedroom, etc., each collector collected 7 kinds of expressions: normal, happy, surprised, sad, angry, disgusted, and fearful.
Facial expression video data face data set meeting scene face data collection

4,458 People - 3D Facial Expressions Recognition Data

4,458 People - 3D Facial Expressions Recognition Data. The collection scenes include indoor scenes 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 different expressions, different ages, different races, different collecting scenes. This data can be used for tasks such as 3D facial expression recognition.
3D facial expressions recognition different expressions different ages different races different collecting scenes

25,581 Images - 88 Facial Landmarks Annotation Data

25,581 Images - 88 Facial Landmarks Annotation Data. The dataset includes Asian, black race, Caucasian and brown race. In order to be more challenging, the data includes multiple scenes, multiple poses, different ages, light conditions and complicated expressions. For annotation, 88 facial landmarks and visible and invisible attributes of landmarks were annotated. This data can be used for tasks such as face detection and face recognition.
88 facial landmarks multiple scenes different ages different races different light conditions multiple face postures and expressions face detection face recognition face segmentation

26,090 images Human Facial Skin Defects Data

26,090 Images Human Facial Skin Defects Data. The data includes the following five types of facial skin defects: acne, acne marks, stains, wrinkles, and dark circles. This data can be used for tasks such as skin defects detection.
skin defects acne acne marks stains wrinkles dark circles

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

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

116,048 Sets - 3D Handpose Dataset

This dataset contains 116,048 sets of 3D handpose data, each set includes hand mask image(RGB, 24-bit), depth image(16-bit), camera intrinsic parameter file(TXT), 3D keypoints file(OBJ), mesh file(OBJ), gesture type file(TXT), keypoints demo image(JPG), and mesh demo image(JPG). The data is collected indoors, with the right hand (no handheld objects), covering both first-person and third-person perspectives, multiple gesture types, finger poses, hand overall rotation poses, individuals and Kinect devices used. This dataset does not include personally identifiable facial information, with hand mask images and depth images aligned. This dataset can be used for tasks such as handpose recognition, hand 3D reconstruction, and hand keypoints detection.
VR Handpose recognization 3D reconstruction Keypoints detection
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Why off-the-shelf Datasets

  • Copyright

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    Clear Coyright and Ready to Check
  • Security

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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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    Efficiency

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