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
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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.