Image/Video Datasets

Quickly expand image/video training data to build better AI applications

Datatang licensable off-the-shelf image/video datasets are in four major sectors: security, smartphone, automotive, and OCR. Use cases include object identification (2D/3D bounding boxes, polygons, splines), object classification with attributes, facial key points detection, liveness detection & anti-spoofing, pixel-wise segmentation, person re-identification, etc.

ALL IMAGE SPEECH TEXT

4,788 images Human Facial Skin Defects Data 4,788 Chinese people 5,105 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. S k i n d e f e c t s d e t e c t i o n Sample
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 Sample
895 Fire Videos Data 895 Fire Videos Data，the total duration of videos is 27 hours 6 minutes 48.58 seconds. The dataset adpoted different cameras to shoot fire videos. The shooting time includes day and night.The dataset can be used for tasks such as fire detection. Fire Multiple scenes Multiple light conditions Sample
55 Videos –Juvenile Face Data 55 Videos –Juvenile Face Data, the subjects' facial poses are abundant and the facial expressions are natural. The dataset can be used for face detection, face recognition and other tasks. Teenager Human face Sample
5,011 Images – Human Frontal face Data (Male) 5,011 Images – Human Frontal face Data (Male). The data diversity includes multiple scenes, multiple ages and multiple races. This dataset includes 2,004 Caucasians , 3,007 Asians. This dataset can be used for tasks such as face detection, race detection, age detection, beard category classification. Frontal face image Face recognition Aisan Caucasion Sample
189 Videos-Electric Bicycle Entering Elevator Data 189 Videos-Electric Bicycle Entering Elevator Data，the total duration is 1 hour 58 minutes 40.72 seconds. The data covers different types of elevators, different types of electric bicycles, different time periods. The data can be used for tasks such as electric bicycle detection, electric bicycle recognition . Different types of elevators Different types of non-electric bicycles Different types of electric bicycles Different time periods Sample
9,433 People 60,860 Images Cross-age Faces Data 9,433 People 60,860 Images Cross-age Faces Data. The data includes indoor and outdoor scenes. The dataset includes female and male(Chinese). For most people, the age spans are 10 years at least, the age spans of only a few people are less than 10 years (130 people). For each person, at least 4 front side images were collected. The data can be used for tasks such as cross-age face recognition. Several images for one person Different scenes Different age periods Sample
Sample
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 Chinese people (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 Sample
4,999 People 55,348 Images Infant Faces Collection Data 4,999 People 55,348 Images Infant Faces Collection Data. The data includes indoor and outdoor scenes, at least two backgrounds for each person. The dataset includes boys and girls (Chinese). The data diversity includes multiple scenes, multiple ages, multiple angles, multiple light conditions. This data can be used for tasks such as infants face recognition. Infant faces Multiple scenes Multiple ages Multiple angles Multiple light conditions Sample

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