Computer Vision Training Dataset - Nexdata

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Task Type

All

6

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

6

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

10 People - 3D&2D Living_Face & Anti_Spoofing Data

10 People - 3D&2D Living_Face & Anti_Spoofing Data. The collection scenes is indoor 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&2D Living_Face & Anti_Spoofing various expressions facial postures anti-spoofing samples multiple light conditions multiple scenes 3D mask

40 People – 3D&2D Living_Face & Anti_Spoofing Data

40 People – 3D&2D Living_Face & Anti_Spoofing Data. The collection scenes are indoor scenes and outdoor scenes. The dataset includes males and females, the age distribution is 18-57 years old. The device includes cellphone, camera, iPhone of multiple models (iPhone X or more advanced iPhone models). The data diversity includes multiple devices, multiple actions, multiple facial postures, multiple anti-spoofing samples, multiple light conditions, multiple scenes. This data can be used for tasks such as 2D Living_Face & Anti_Spoofing, 2D face recognition, 3D face recognition, 3D Living_Face & Anti_Spoofing.

2D face recognition 3D face recognition anti-spoofing iPhone of multiple models indoor scenes outdoor scenes multiple devices multiple actions multiple facial postures multiple anti-spoofing

208 Vietnamese– 2D Living_Face & Anti_Spoofing Data

208 Vietnamese– 2D 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 race distribution is Vietnamese. The data includes various expressions, postures, anti-spoofing samples, multiple light conditions, multiple scenes. 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

200 Vietnamese– 3D Living_Face & Anti_Spoofing Data

200 Vietnamese– 3D Living_Face & Anti_Spoofing Data. The collection scenes include indoor and outdoor scenes. The dataset includes males and females. The age distribution includes under 18 years old, 18 to 45 years old, 46 to 60 years old, over 60 years old. The device includes iPhone X, iPhone XR, iPhone11, iPhone12, iPhone13. 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

50 People – 3D Scanning Face Data

50 people – 3D scanning face data. The collection scene is indoor. The data covers males and females. The age distribution ranges from youth to old age, mainly young and middle-aged. The collection device is a special scanner. The data can be used for tasks such as 3D face recognition, 3D face modeling, etc.

Face recognition dataset face dataset 3D face data 3D face recognition Living_face & anti_spoofing data 3D scanning face 3D face modeling

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