Explore a diverse and comprehensive dataset featuring a variety of models engaging in different sports. From team games to individual athletic pursuits, this collection captures a wide range of action, movement, and skill across various disciplines, providing valuable insights for machine learning, computer vision, and sports analytics applications.
Our dataset features a diverse array of models walking, showcasing a wide range of body types, styles, and movement dynamics. From runway struts to casual strolls, this collection captures various angles, speeds, and environments, making it ideal for training AI models in pose estimation, motion analysis, and fashion applications.
Discover a diverse dataset featuring senior models from various backgrounds and lifestyles. This collection highlights a range of activities, expressions, and environments, offering valuable insights for applications in aging research, marketing, and inclusive design, with a focus on representing seniors in authentic and dynamic ways.
Unlock a diverse dataset capturing people in various business settings, from meetings and presentations to collaborative workspaces. This collection reflects a wide range of professional roles, interactions, and environments, making it perfect for applications in workplace dynamics analysis, behavior recognition, and business communication research.
FileMarket | Diverse Human Face Data | 20,000 IDs | Face Recognition Data | Image/Video AI Training Data | Biometric Data
by
Our pre-compiled biometric data set (human faces) includes comprehensive features such as 3D depth, segmentation of facial organs and accessories, key points, facial expressions, alpha matte, and a range of ages. All biometric data is gathered with signed authorization agreements. Biometric Data FileMarket provides a comprehensive Biometric Data set, ideal for enhancing AI applications in security, identity verification, and more. In addition to Biometric Data, we offer specialized datasets across Object Detection Data, Machine Learning (ML) Data, Large Language Model (LLM) Data, and Deep Learning (DL) Data. Each dataset is meticulously crafted to support the development of cutting-edge AI models. Data Size: 20,000 IDs Race Distribution: The dataset encompasses individuals from diverse racial backgrounds, including Black, Caucasian, Indian, and Asian groups. Gender Distribution: The dataset equally represents all genders, ensuring a balanced and inclusive collection. Age Distribution: The data spans a broad age range, including young, middle-aged, and senior individuals, providing comprehensive age coverage. Collection Environment: Data has been gathered in both indoor and outdoor environments, ensuring variety and relevance for real-world applications. Data Diversity: This dataset includes a rich variety of face poses, racial backgrounds, age groups, lighting conditions, and scenes, making it ideal for robust biometric model training. Device: All data has been collected using mobile phones, reflecting common real-world usage scenarios. Data Format: The data is provided in .jpg and .png formats, ensuring compatibility with various processing tools and systems. Accuracy: The labels for face pose, race, gender, and age are highly accurate, exceeding 95%, making this dataset reliable for training high-performance biometric models.
Discover a rich and diverse dataset showcasing people of all backgrounds interacting with various technologies, including smartphones, laptops, and more. This collection offers a broad spectrum of behaviors, environments, and contexts, ideal for applications in human-computer interaction, usability research, and machine learning models focused on technology use and user engagement.
Explore a diverse dataset featuring models in healthcare and hospital environments, showcasing a variety of roles, tasks, and interactions. From doctors and nurses to patients and administrative staff, this collection offers valuable insights into medical settings, ideal for applications in healthcare analytics, patient care modeling, and medical workflow optimization.
High-quality mobility data aggregated from multiple location-aware mobile apps and SDKs globally. This dataset provides comprehensive insights into movement patterns with daily updates. All data is collected with explicit user consent and anonymized following privacy standards. Key features: 90 billion location records globally Daily data collection and delivery Complete device movement data, including coordinates, timestamps, and accuracy metrics Geographic data including country, state, city, and postal codes Detailed device informatio,n including carriers and user agents Advanced location encoding via geohash, hex8, and hex9 systems Perfect for consumer insight analysis, market intelligence, targeted advertising, and retail analytics applications. Data is available in daily/weekly/monthly/quarterly delivery options.
Factori Visit Data connects people's movements to over 200 million physical locations globally, powering geographical information system (GIS) tools and providing data-driven insights across multiple industries. These aggregated and anonymized data points offer valuable context for the volume and patterns of visits to locations worldwide. Key features: -POI/Place/OOH level insights based on Factori's Mobility & People Graph data -Foot-traffic attribution using combined location attributes -Time-based analysis by day of week and part of day -Home and work location distribution of visitors -Visitor country origin and travel patterns -Visitor demographic breakdowns including age and gender -Device brand, model, and carrier information -Place category and brand affinity metrics -Geo-behavioral interest mapping Perfect for credit scoring applications, retail analytics, market intelligence, and urban planning. Financial services can validate locations for alternative credit scoring, retailers can analyze footfall trends, marketers can study competitive landscapes, and urban planners can build cases for development based on fresh population data. Data is collected dynamically and provided through flexible delivery schedules.
Factori High Fidelity Mobility data is collected from location-aware partner mobile apps. This dataset includes advanced attributes such as vertical accuracy and altitude measurements to provide exceptionally accurate location intelligence. Key features: -Over 200 billion high-precision location records -Daily data collection with same-day delivery frequency -Enhanced vertical accuracy for multi-level location determination -Altitude measurements for 3D positioning -Comprehensive user demographic information -Anonymous ID linking for privacy protection -Detailed device information -Affluence indicators and economic attributes -Interest categorization and behavioral segments -Travel patterns including visited countries This dataset is used in a wide range of business applications, such as consumer insights applications, targeted advertising campaigns, and retail analytics. All data is collected with explicit opt-in consent and anonymized to ensure privacy compliance. Data is delivered daily with options for custom delivery schedules.
Factori cross-device data identifies customers across multiple internet-connected devices through encrypted MAIDs and IP addresses. We build comprehensive cross-device data by identifying household users across devices and analyzing their data characteristics to determine intent and interests, enabling advertisers to target viewers on Connected TV platforms effectively. Key features: -3 billion records of cross-device connections -Daily data collection with same-day delivery frequency -One full year of historical data accessible -Household-level device mapping -Anonymous user identification across multiple devices -IP address mapping for household determination -Connected TV viewing patterns and preferences -Cross-platform identity resolution -Comprehensive device usage patterns Wide range of business applications such as consumer analytics applications, cross-device attribution, sales forecasting, and coordinated advertising campaigns. This dataset allows organizations to determine household-level reach, conduct aggregated analysis of household device identities, and ensure consumers don't receive repetitive messaging across platforms. Data is collected dynamically and delivered daily via server-to-server transfer.
Factori people data links anonymous IDs to multiple attributes related to demographics, device ownership, audience segments, and key locations. This comprehensive dataset helps companies enrich their existing databases or identify new customer profiles with similar interests to their current customers. Key features: -900 million unique user profiles updated monthly Comprehensive user demographic information -Mobile advertising ID (MAID) linkages -Detailed device ownership information -Location data and movement patterns -Affluence indicators and economic attributes -Interest categorization and behavioral segments -Travel patterns including visited countries Perfect for gaining 360-degree consumer insights, data enrichment projects, sales forecasting, and retail analytics. This dataset enables partner brands to develop a holistic view of consumers based on their personas and instantly gain actionable insights. Data is collected dynamically and provided through suitable delivery methods on daily, weekly, monthly, or quarterly intervals.
Factori comprehensive US consumer graph database provides detailed profiles on over 300 million individuals with more than 100 variables covering location, demographics, lifestyle, hobbies, and behaviors. This data enrichment solution helps fill gaps in customer data for deeper consumer understanding. Key features: -Geographic data including city, state, ZIP, county, CBSA, and census tract -Demographic profiles with gender, age group, marital status, and language preferences -Financial attributes including income range, credit rating, and net worth information -Persona classifications with consumer types, communication preferences, and family structure -Interest mapping across content preferences, brand affinities, shopping habits, and lifestyle choices -Household data including family composition and IP addresses -Behavioral insights covering brand affinity, app usage, and web browsing patterns -Firmographic details including industry, company, occupation, and revenue information -Retail purchase history across stores, categories, brands, and SKUs -Automotive ownership data with make, model, type, and year Housing information including home type, value, ownership status, and year built Perfect for creating 360-degree customer views, data enrichment projects, fraud detection applications, and targeted advertising and marketing campaigns. Data is collected dynamically and provided through suitable delivery methods on daily, weekly, or monthly intervals.
Access to over 1.5 billion unique mobile users across APAC, EU, North America, and MENA regions. This dataset combines raw data signals from 900+ global sources, validated, modeled, and segmented into thousands of mobile audience segments. Key features: -Comprehensive audience categorization including interests, demographics, behavioral, and geographic data -Brand Shoppers segments based on real-world visits to brand outlets -Place Category Visitors segments reflecting high-intent location visits -Demographic data including gender, age, marital status, education (US-specific enhanced data) -Geo-Behavioral segments based on frequency of visits to specific locations -Interest and Intent data derived from online browsing and shopping behavior -Event-related audience segments for sports, culture, and gaming -App usage categorization based on installed mobile applications -Specialized US segments including auto ownership, financial behavior, and B2B audiences Perfect for advertising and marketing campaign ideation, personalized messaging, market intelligence, credit scoring, and retail analytics. Data is collected dynamically and provided monthly with options for pre-made audience segments or custom segments tailored to specific requirements.
Factori Identity Graph data helps brands enhance their first-party data in a privacy-compliant manner, enabling user reach across new platforms and channels. This dataset facilitates matching customer IDs with identities across multiple platforms and devices through deterministic or probabilistic matching methods. Key features: - Over 500 million device data records linked to hashed email data - Comprehensive identity resolution across platforms and devices - Multiple data points for accurate user matching - Privacy-compliant data linking methodology - Historical data covering the past 6 months - Monthly updates ensuring data freshness Perfect for identity resolution use cases to create unified client profiles (B2B/B2C) and data enrichment applications that leverage first-party data to build holistic audience segments for improved campaign targeting. Data is delivered through privacy-compliant data clean rooms, enriching your data based on specific requirements.
Pixta AI | Face recognition | Human | Face ID + 106 key points facial landmark images | 30,000 Stock Images
by Pixta Inc
1. Overview This dataset is a collection of 30,000+ images of Face ID + 106 key points facial landmark that are ready to use for optimizing the accuracy of computer vision models. Images in the dataset includes People image with specific requirements as follow: - Age: above 20 - Race: various - Angle: no more than 90 degree All of the contents is sourced from PIXTA's stock library of 100M+ Asian-featured images and videos. 2. Annotated Imagery Data of Face ID + 106 key points facial landmark This dataset contains 30,000+ images of Face ID + 106 key points facial landmark. The dataset has been annotated in - face bounding box, Attribute of race, gender, age, skin tone and 106 keypoints facial landmark. Each data set is supported by both AI and human review process to ensure labelling consistency and accuracy. 3. About PIXTA PIXTASTOCK is the largest Asian-featured stock platform providing data, contents, tools and services since 2005. PIXTA experiences 15 years of integrating advanced AI technology in managing, curating, processing over 100M visual materials and serving global leading brands for their creative and data demands.
1. Overview This dataset is a collection of 10,000+ images of Human wearing a mask in multiple scenes that are ready to use for optimizing the accuracy of computer vision models. All of the contents is sourced from PIXTA's stock library of 100M+ Asian-featured images and videos. PIXTA is the largest platform of visual materials in the Asia Pacific region offering fully-managed services, high quality contents and data, and powerful tools for businesses & organisations to enable their creative and machine learning projects. 2. Annotated Imagery Data of car Human wearing a mask This dataset contains 10,000+ images of Human wearing a mask. The dataset has been annotated in face bounding box, body bounding box and attribute of mask, wheelchair, stroller, umbrella, suitcase, bag, backpack, laptop, cellphone, hat, suits, glasses/sunglasses 3. About PIXTA PIXTASTOCK is the largest Asian-featured stock platform providing data, contents, tools and services since 2005. PIXTA experiences 15 years of integrating advanced AI technology in managing, curating, processing over 100M visual materials and serving global leading brands for their creative and data demands.
1. Overview This dataset is a collection of 50,000+ images of Human full body with multiple attributes that are ready to use for optimizing the accuracy of computer vision models. All of the contents is sourced from PIXTA's stock library of 100M+ Asian-featured images and videos. PIXTA is the largest platform of visual materials in the Asia Pacific region offering fully-managed services, high quality contents and data, and powerful tools for businesses & organisations to enable their creative and machine learning projects. 2. Annotated Imagery Data of human in full body images This dataset contains 50,000+ images of human in full body. The dataset has been annotated in face bounding box face, body bounding box and Attribute of mask, wheelchair, stroller, umbrella, suitcase, bag, backpack, laptop, cellphone,... 3. About PIXTA PIXTASTOCK is the largest Asian-featured stock platform providing data, contents, tools and services since 2005. PIXTA experiences 15 years of integrating advanced AI technology in managing, curating, processing over 100M visual materials and serving global leading brands for their creative and data demands.
Pixta AI | Object Detection | Computer vision | E-commerce apparel dataset | 10,000 Stock Images
by Pixta Inc
1. Overview This dataset is a collection of 10,000+ images of E-commerce apparel dataset that are ready to use for optimizing the accuracy of computer vision models. All of the contents is sourced from PIXTA's stock library of 100M+ Asian-featured images and videos. PIXTA is the largest platform of visual materials in the Asia Pacific region offering fully-managed services, high quality contents and data, and powerful tools for businesses & organisations to enable their creative and machine learning projects. 2. Annotated Imagery Data of car images This dataset contains 10,000+ images of E-commerce apparel dataset. Each data set is supported by both AI and human review process to ensure labelling consistency and accuracy. 3. About PIXTA PIXTASTOCK is the largest Asian-featured stock platform providing data, contents, tools and services since 2005. PIXTA experiences 15 years of integrating advanced AI technology in managing, curating, processing over 100M visual materials and serving global leading brands for their creative and data demands.
This dataset is a collection of 100,000+ images of mixed race human face with various expressions & emotions that are ready to use for optimizing the accuracy of computer vision models. All of the contents is sourced from PIXTA's stock library of 100M+ Asian-featured images and videos. PIXTA is the largest platform of visual materials in the Asia Pacific region offering fully-managed services, high quality contents and data, and powerful tools for businesses & organisations to enable their creative and machine learning projects.