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

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 Faces Multiple races Sample
23,110 People Multi-race and Multi-pose Face Images Data 23,110 People Multi-race and Multi-pose Face Images Data. This data includes Asian race, Caucasian race, black race, brown race and Indians. Each subject were collected 29 images under different scenes and light conditions. The 29 images include 28 photos (multi light conditions, multiple poses and multiple scenes) + 1 ID photo. This data can be used for face recognition related tasks. Multi-race Multiple light conditions Multi-pose Sample
1,930 People with Occlusion and Multi-pose Face Recognition Data 1,930 People with Occlusion and Multi-pose Face Recognition Data, for each subject, 200 images were collected. The 200 images includes 4 kinds of light conditions * 10 kinds of occlusion cases (including non-occluded case) * 5 kinds of face pose. This data can be applied to computer vision tasks such as occluded face detection and recognition.n Face recognition Face occlusion Multi-pose per person Face with mask 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
105,941 Images Natural Scenes OCR Data of 12 Languages 105,941 Images Natural Scenes OCR Data of 12 Languages. The data covers 12 languages (6 Asian languages, 6 European languages), multiple natural scenes, multiple photographic angles. For annotation, line-level quadrilateral bounding box annotation and transcription for the texts were annotated in the data. The data can be used for tasks such as OCR of multi-language. 12 languages Multiple photographic angles Multiple scenes Line-level quadrilateral bounding box annotation and transcription 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
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
26,129 People Multi-race 7 Expressions Recognition Data 26,129 People Multi-race 7 Expressions Recognition Data. The data includes male and female. The age distribution ranges from child to the elderly, the young people and the middle aged are the majorities. For each person, 7 images were collected. The data diversity includes different facial postures, different expressions, different light conditions and different scenes. The data can be used for tasks such as face expression recognition. Human face Multi-expression Multi-race Seven images per person Sample
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

CUSTOMIZED COLLECTION & ANNOTATION SERVICES

1,000,000+ crowdsourcing to perform complex and professional projects

Contact Us