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Nexdata Trending datasets

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

10.44M English Test QA Dataset – All Grades & Subjects

This dataset contains 10.44 million English-language test questions parsed and structured for large-scale educational AI and NLP applications. Each question record includes the title, answer, explanation (parse), subject, grade level, and question type. Covering a full range of academic stages from primary and middle school to high school and university, the dataset spans core subjects such as English, mathematics, biology, and accounting. The content follows the Anglo-American education system and supports tasks such as question answering, subject knowledge enhancement, educational chatbot training, and intelligent tutoring systems. All data are formatted for efficient machine learning use and comply with data protection regulations including GDPR, CCPA, and PIPL.

English question dataset English test bank education QA dataset parsed English questions AI dataset for education English exam questions for AI question parsing NLP subject-grade English data K-12 test questions university English questions dataset

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 Dataset

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 children to elderly. 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 AI-based infrared facial recognition and biometric authentication. 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.

infrared face recognition dataset multi-race face dataset thermal face recognition dataset AI face recognition training data multi-age face recognition datase biometric infrared dataset facial posture variation dataset computer vision face recognition dataset high-diversity face recognition dataset

568 People Face Detection Dataset & 106 Landmarks with Body Segmentation (Online Conference)

This dataset contains 568 individuals, ethnic groups include East Asians, Caucasians, Blacks, and Browns, primarily young adults. Various indoor office scenes were captured, including meeting rooms, cafes, libraries, and bedrooms. In terms of annotation, each individual has 61 to 64 photos with annotations for detected facial bounding boxes, 106 facial landmarks, and segmentation annotations for the human body. This dataset can be used for tasks like face detection, facial landmark recognition, human body segmentation, and computer vision applications in virtual meeting or office environments.

face detection dataset with landmarks 106 facial landmarks dataset human body segmentation dataset online conference face dataset multi-ethnic face images dataset AI dataset for facial and body analysis

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.

Multiple scenes 50 types of dynamic gestures 5 photographic angles Multiple light conditions Different photographic distances

11,130 People – Real Surveillance Re-ID Dataset (Indoor & Outdoor)

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, seasonal clothing. For annotation, the rectangular bounding boxes and 15 attributes of human body were annotated. This data can be used for re-ID, person tracking, AI/computer vision research in realistic surveillance environments and other tasks.

human re-id dataset surveillance large-scale person re-identification dataset real surveillance re-id data multi-scene human re-id dataset person tracking and re-id dataset human body attributes re-id dataset human re-id dataset

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 Multi-modality English caption Multiple shooting angles Multiple seasons Multiple scenes

Annotated Driver Hand Gesture Dataset – 180 People, 9,000 Images

This dataset includes 9,000 images from 180 individuals, each labeled with 21 hand gesture landmarks along with attributes such as visibility, gesture type, gender, age, nationality, and vehicle type. Captured across diverse driving environments and time periods, this data supports research and model training in gesture recognition, pose estimation, and driver behavior analysis. It is especially useful for developing driver monitoring systems (DMS) and in-cabin interaction technologies. All data is compliant with GDPR, CCPA, and PIPL regulations and has been quality verified by leading AI companies.

driver gesture dataset hand gesture landmark dataset 21 keypoints hand annotation driver monitoring system data gesture recognition dataset driver pose dataset in-vehicle gesture recognition autonomous vehicle hand data driver gesture AI training gesture landmark detection dataset

180,717 Images - Sign Language Gesture Images for Recognition & Translation

This dataset contains 180,717 images of sign language gestures, including 41 static gestures and 95 dynamic gestures. The data was captured from multiple scenes, multiple photographic angles and multiple light conditions. In terms of data annotation, each gesture is annotated with 21 landmarks, gesture types and attributes. This dataset can be used for tasks such as AI-based gesture recognition, sign language translation, human-computer interaction.

sign language gesture recognition dataset static and dynamic gesture dataset sign language translation dataset hand gesture recognition dataset AI dataset for gesture recognition 21 landmarks gesture annotation dataset

1,998 People Lip Language Video Dataset – Arabic Numbers, Multi-Scene

1,998 People Lip Language Video Dataset – Arabic Numbers, Multi-Scene. 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 dataset lip reading dataset Arabic numbers lip videos face anti-spoofing video dataset multi-scene lip dataset multi-age lip language dataset video dataset for lip recognition biometric face and lip dataset

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.

3D Point Cloud Data Service

Street View Data Service

Behavior Recognition Data Service

OCR Data Service

Identity Recognition Data Service

Speech Synthesis Data Service

Speech Recognition Data Service

Multimodal Data Service

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