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Nexdata Trending datasets

Gain access to off-the-shelf, up-to-date datasets to drive your business growth.

10 million - English Test Questions Text Parsing And Processing Data

10 Million - English Test Questions Text Parsing And Processing Data, Each question contains title, answer, parse, subject, grade, question type; The educational stages cover primary, middle, high school, and university; Subjects cover mathmatics, biology, accounting, etc.The data are questions text under the Anglo-American system, which can be used to enhance the subject knowledge of large models

English test questions text data LLM Large Language Model Large Model chatgpt data

1,178 Hours - English(America) Real-world Casual Conversation and Monologue speech dataset

English(America) Real-world Casual Conversation and Monologue speech dataset, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

Colloquial video speech data english video data text annotation English Colloquial Video Speech Data English Colloquial Video Speech dataset English Colloquial Video Speech database English Colloquial Video Speech collection

4,484 People Multi-race – Infrared Face Recognition Data

4,484 people multi-race – infrared face recognition data. The collecting scenes of this dataset include indoor scenes and outdoor scenes. The data includes male and female. The race distribution includes Asian, Black, Caucasian and Brown people. The age distribution ranges from child to the elderly, the young people and the middle aged are the majorities. The collecting device is DV-DH4,044S305AD. The data diversity includes multiple age periods, multiple facial postures, multiple scenes. The data can be used for tasks such as infrared face recognition. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

Multi-race infrared face binocular camera multiple age periods multiple facial postures multiple scenes

568 People - Face Detection & Face 106 Landmarks & Human Body Segmentation Annotation Data in Online Conference Scenes

568 People - Face Detection & Face 106 Landmarks & Human Body Segmentation Annotation Data in Online Conference Scenes. The ethnic groups include East Asians, Caucasians, Blacks, and Browns, with a primary focus on young adults. Various indoor office scenes were captured, including meeting rooms, cafes, libraries, and bedrooms. In terms of annotation, each individual consists of 61 to 64 photos, with annotations for detected facial bounding boxes and 106 facial landmarks, as well as segmentation annotations for the human body. The data can be used for tasks such as facial detection, 106 facial landmark recognition, and human body segmentation.

Conference Scenes Face Detection Face 106 Landmarks Human Body Segmentation

10,000 Sets-Digital Chart Q&A Data

10,000 Sets-Digital Chart Q&A Data, covering categories such as line charts, bar charts, pie charts, scatter plots, composite types, and tables. Each image has two rounds of Q&A, one for numerical reading and the other for numerical calculation.

Digital Chart QA

1500 Hours - French(Canada) Real-world Casual Conversation and Monologue speech dataset

French(Canada) Real-world Casual Conversation and Monologue speech dataset, covers self-media, conversation, variety show and other generic domains, mirrors real-world interactions. Transcribed with text content, speaker's ID, gender, and other attributes. Our dataset was collected from extensive and diversify speakers, geographicly speaking, enhancing model performance in real and complex tasks. Quality tested by various AI companies. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied.

Canada French Casual Conversation ASR

558,870 Videos - 50 Types of Dynamic Gesture Recognition Data

558,870 Videos - 50 Types of Dynamic Gesture Recognition Data. The collecting scenes of this dataset include indoor scenes and outdoor scenes (natural scenery, street view, square, etc.). The data covers males and females. The age distribution ranges from teenager to senior. The data diversity includes multiple scenes, 50 types of dynamic gestures, 5 photographic angles, multiple light conditions, different photographic distances. This data can be used for dynamic gesture recognition of smart homes, audio equipments and on-board systems.

Vehicle dynamic gesture data home gesture data gesture recognition data 21 key point gesture image data static gesture data dynamic gesture data key point dataset key point annotation gesture key point dataset

11,130 People - Re-ID Data in Real Surveillance Scenes

11,130 People - Re-ID Data in Real Surveillance Scenes. The data includes indoor scenes and outdoor scenes. The data includes males and females, and the age distribution is from children to the elderly. The data diversity includes different age groups, different time periods, different shooting angles, different human body orientations and postures, clothing for different seasons. For annotation, the rectangular bounding boxes and 15 attributes of human body were annotated. This data can be used for re-id and other tasks.

different ages different time periods different cameras different human body orientations and postures different ages collecting environment

10,000 Image Caption Data of Gestures

10,000 Image caption data of gestures, mainly for young and middle-aged people, the collection environment includes indoor scenes and outdoor scenes, including various collection environments, various seasons, and various collection angles. The description language is English, mainly describing hand characteristics such as hand movements, gestures, image acquisition angles, gender, age, etc.

AIGC gesture description gesture recognition dataset gesture image dataset

9,000 Images of 180 People - Driver Gesture 21 Landmarks Annotation Data

9,000 Images of 180 People - Driver Gesture 21 Landmarks Annotation Data. This data diversity includes multiple age periods, multiple time periods, multiple gestures, multiple vehicle types, multiple time periods. For annotation, the vehicle type, gesture type, person nationality, gender, age and gesture 21 landmarks (each landmark includes the attribute of visible and invisible) were annotated. This data can be used for tasks such as driver gesture recognition, gesture landmarks detection and recognition.

DMS driver gesture gesture 21 landmarks static gesture dynamic gesture driver gesture recognition gesture landmarks detection gesture landmarks recognition

180,717 Images - Sign Language Gestures Recognition Data

180,717 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.

Sign language gestures multiple scenes static gestures dynamic gestures multiple photographic angles multiple light conditions 21 landmarks gesture type gesture attributes

1,998 People - Lip Language Video Data

1,998 People - Lip Language Video Data. The data diversity includes multiple scenes, multiple ages and multiple time periods. In each video, the lip language of 8-bit Arabic numbers was collected. In this dataset, there are 41,866 videos and the total duration is 86 hours 56 minutes 1.52 seconds. This dataset can be used in tasks such as face anti-spoofing recognition, lip language recognition, etc.

Lip language video data Multiple scenes

Data Service

Nexdata has global data processing factories and more than 20,000 professional annotators, supporting on-demand data annotation services, such as speech, image, video, point cloud and text, etc.

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Annotation Platform

Our annotation platform supports human-machine interaction and semi-automatic labeling, assiting you in effectively building more competitive AI products.

3D Point Cloud Annotation Tool