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

4,608 People - Face Recognition Data with Gauze Mask 4,608 People - Face Recognition Data with Gauze Mask, for each subject, 7 images were collected. The dataset diversity includes multiple mask types, multiple ages, multiple light conditions and scenes.This data can be applied to computer vision tasks such as occluded face detection and recognition. Face recognition Face occlusion Frontal face Gause mask Sample
2,071 People 21,472 Images Cross-age Faces Data 2,071 People 21,472 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 8 images, the age span is from 2 to 30 years. The data can be used for tasks such as cross-age face recognition. Several images for one person Different scenes Different ages Sample
9,435 People 60,872 Images Cross-age Faces Data 9,435 People 60,872 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
23 Pairs of Identical Twins Face Image Data 23 Pairs of Identical Twins Face Image Data. The collecting scenes includes indoor and outdoor scenes. The subjects are Chinese males and females. The data diversity inlcudes multiple face angles, multiple face postures, close-up of eyes, multiple light conditions and multiple age groups. This dataset can be used for tasks such as twins' face recognition. Multiple face angles Multiple face postures Close-up of eyes Multiple light conditions Multiple age groups Multiple scenes Sample
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 21 landmarks annotation 5 shooting angels Multiple ages Multiple light conditions Sample
1,066 People Living_Face & Anti-Spoofing Data 1,066 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. Multiple expressions Multiple postures Multiple anti-spoofing samples Multiple light conditions Multiple scenes Sample
1,199 People Multi-race and Multi-pose Face Images & Videos Data 1,199 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 Faces Multiple races Sample
180,718 Images - Sign Language Gestures Recognition Data 180,718 Images - Sign Language Gestures Recognition Data. The data diversity includes multiple scenes, 41 static gestures, 95 dynamic gestures, multiple photographic angles, and multiple light conditions. In terms of data annotation, 21 landmarks, gesture types, and gesture attributes were annotated. This dataset can be used for tasks such as gesture recognition and sign language translation. Multiple scenes 41 static gestures 95 dynamic gestures Multiple photographic angles Multiple light conditions Sample
1,078 People 3D Faces Collection Data 1,078 People 3D Faces Collection Data. The collection device is Realsense SR300. Each subject was collected once a week, 6 times in total, so the time span is 6 weeks. The number of videos collected for one subject is 16. The dataset can be used for tasks such as 3D face recognition. 3D face Multiple light conditions Multi-posture Cross-time collection Sample
101 People - 4,538 Images Japanese Handwriting OCR Data 101 People - 4,538 Images Japanese Handwriting OCR Data. The text carrier is A4 paper. The dataset content includes social livelihood, entertainment, tour, sport, movie, composition and other fields. For annotation, character-level rectangular bounding box annotation and text transcription were adopted. The dataset can be used for tasks such as Japanese handwriting OCR. Japanese Handwriting OCR Sample

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