4,253 Pairs of Human Face Images – Before and After Makeup

Face recognition

Make-up image data

facial data

4,253 Pairs of Human Face Images – Before and After Makeup. For each pair, one image without makeup and one image with makeup are included. This dataset can be used for tasks such as face recognition and makeup style analysis.

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

Recommended Dataset

314,178 Images 18_Gestures Recognition Data

314,178 Images 18_Gestures Recognition Data. This data diversity includes multiple scenes, 18 gestures, 5 shooting angels, multiple ages and multiple light conditions. For annotation, gesture 21 landmarks (each landmark includes the attribute of visible and visible), gesture type and gesture attributes were annotated. This data can be used for tasks such as gesture recognition and human-machine interaction.

multiple scenes 18 gestures 5 shooting angels multiple ages multiple light conditions gesture recognition 21 gestural landmarks annotation

70,846 Images – Human Face Segmentation Data

Human Face Segmentation Data from 70,846 Images. Pure color backgrounds, interior and exterior scene types are all included in the data. Both males and females are included in the data. Asian, Black, and Caucasian races are represented in the race distribution. The age ranges from young children to elderly people. Simple and complex facial expressions can be found in the data (large-angle tilt of face, closing eye, glower, pucker, opening mouth, etc.). We used pixel-by-pixel segmentation annotations to annotate the human face, the five sense organs, the body, and appendages. The information can be applied to tasks like facial Recon Related Tasks

Face segmentation five sense organs segmentation appendages segmentation face recognition complicated expressions pure color background indoor scenes outdoor 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

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

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

1,995 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 – Human Face Image Data with Multiple Angles, Light Conditions, and Expressions

The 110 People – Human Face Image Data is gathered through camera shot involving 110 native speakers, developed with a proper balance of gender ratio and age group distribution covering major colour tones human race. 2100 pictures per person with glasses, expressions, camera shooting angle, and lighting conditions. All Attributes are annotated, including gender, age, expression, etc. The overall accuracy rate is ≥ 97%.rn

Face Multiple angles Multiple expressions Multiple races 2 100 images per person Asian Face shot Data Asian Face shot dataset Europe front Image Data Europe front Image dataset Europe front Picture Data Europe front Picture dataset