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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.

Pre-collected OCR datasets include images of natural scenes, handwritten texts, bills and documents, and test papers. The AI training data spans 20 languages, various natural environments, and diverse photographic angles. Annotated Imagery Data FileMarket provides a robust Annotated Imagery Data set designed to meet the diverse needs of various computer vision and machine learning tasks. This dataset is part of our extensive offerings, which also include Textual Data, Object Detection Data, Large Language Model (LLM) Data, and Deep Learning (DL) Data. Each category is meticulously crafted to ensure high-quality and comprehensive datasets that empower AI development. Specifications: Data Size: 50,000 images Collection Environment: The images cover a wide array of real-world scenarios, including shop signs, stop boards, posters, tickets, road signs, comics, cover pictures, prompts/reminders, warnings, packaging instructions, menus, building signs, and more. Diversity: The dataset spans 5 languages and includes images from various natural scenes captured at multiple photographic angles (looking up, looking down, eye-level). Devices Used: Images are captured using cellphones and cameras, reflecting real-world usage. Image Parameters: All images are provided in .jpg format, and the corresponding annotation files are in .json format. Annotation Details: The dataset includes line-level quadrilateral bounding box annotations and text transcriptions. Accuracy: The error margin for each vertex of the quadrilateral bounding box is within 5 pixels, ensuring bounding box accuracy of at least 97%. The text transcription accuracy also meets or exceeds 97%. Unique Data Collection Method: FileMarket utilizes a community-driven approach to collect data, leveraging our extensive network of over 700k users across various Telegram apps. This method ensures that our datasets are diverse, real-world applicable, and ethically sourced, with full participant consent. This approach allows us to provide datasets that are both comprehensive and reflective of real-world scenarios, ensuring that your AI models are trained on the most relevant and diverse data available. By integrating our unique data collection method with the specialized categories we offer, FileMarket is committed to providing high-quality data solutions that support and enhance your AI and machine learning projects.

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.