ooooooo

Curabitur iaculis erat ligula. Quisque viverra tincidunt odio at venenatis. Praesent eget aliquet magna. Ut tempor mi congue justo elementum, ut aliquam nibh euismod. Aliquam dui lectus, aliquam at mattis sed, maximus sit amet erat. Phasellus ut gravida odio. Pellentesque varius nunc risus, et vehicula ex vulputate ac. In blandit rhoncus diam a commodo. Donec mi lectus, porta faucibus ex quis, interdum congue ante. Integer tempus ut est quis imperdiet. Mauris mattis commodo sem, et sollicitudin ipsum accumsan sit amet. Aliquam congue diam porttitor ullamcorper aliquam. Nullam sollicitudin felis in lacus hendrerit pellentesque. Etiam arcu lorem, imperdiet nec accumsan id, vulputate ut tellus. Nam a sem ac ipsum aliquet cursus. Integer eu tellus urna. Praesent ullamcorper congue massa, vitae maximus felis maximus ut. Pellentesque vel libero rutrum, rutrum orci at, vestibulum lorem. Pellentesque lacinia lorem at urna facilisis, vel feugiat quam facilisis. Fusce nibh turpis, condimentum in arcu non, posuere commodo felis. Ut nec semper justo, a accumsan erat. Proin faucibus lacinia ultricies. Fusce porta ornare turpis, a dignissim nisl gravida vitae. Curabitur lacinia dui eu fringilla varius. Nam pharetra, justo sit amet placerat sagittis, quam felis gravida risus, eget mattis nulla eros sed felis. Curabitur eget ipsum ac ex tempor imperdiet ut in est. Morbi in cursus tortor. Pellentesque congue felis a sagittis venenatis. Pellentesque sodales magna urna, sed commodo magna posuere nec. Pellentesque laoreet iaculis mauris in gravida. Curabitur consequat viverra fringilla. Vivamus vel turpis ut quam scelerisque egestas consectetur eu velit. Nulla bibendum, tellus at pulvinar hendrerit, massa turpis lacinia nulla, nec iaculis neque ipsum a quam. Etiam pulvinar, neque at gravida ultrices, sem nisl feugiat enim, ut venenatis purus felis non magna.

345536

ưẻtyt65

sssss

description hehe

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.

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.

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 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 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 Web Data contains fresh web browsing data of users across desktop and mobile devices, indicating search intent, purchase intent, and online category interests. This comprehensive dataset tracks user activity across popular websites worldwide, delivered as a daily feed via server-to-server transfer. Key features: -Over 2 billion records of web browsing activity -Daily data collection with daily delivery frequency -Six months of historical data accessible -Anonymous user identification across devices -IP address data for geographic segmentation -Search query capture for intent analysis -Website category classification -Cross-device browsing behavior patterns -Interest and intent indicators from browsing activity Perfect for personalized targeting applications, data enrichment projects, market intelligence analysis, and fraud detection/cybersecurity initiatives. This dataset allows organizations to analyze web behavior patterns and build highly accurate audience segments based on web activity for targeting ads based on interest categories and search/browsing intent. Data is collected dynamically and provided through suitable delivery methods on daily, weekly, or monthly intervals.

Overview: FileMarket's dataset provides 20,000 high-resolution images of palms, captured in a controlled environment to ensure consistent lighting and clarity. The dataset features a variety of palm types, from different angles and lighting conditions, making it an ideal resource for training AI models in areas such as object detection, plant recognition, and environmental applications. What Makes This Data Unique? This dataset is distinctive for its comprehensive and diverse representation of palms. The images were carefully captured by professional photographers in a studio setting, ensuring uniformity in quality and lighting. The wide range of palm types, along with various angles and poses, allows for nuanced model training, including distinguishing between species, leaf shapes, and growth patterns. The consistency of the imagery eliminates the need for excessive preprocessing, enabling quicker integration into machine learning and deep learning workflows. Data Sourcing: The palm images were sourced through professional shoots in a studio environment, guaranteeing consistency across the dataset. Each image is shot with optimal lighting and framing to enhance visual clarity. The photographers have experience in nature and botanical photography, ensuring that each photo is of exceptional quality and is suited for scientific and technical applications. Primary Use-Cases: This dataset can be leveraged in a wide array of AI and machine learning contexts, including: Object Detection Data: The high clarity and consistent imagery make it perfect for training models that focus on detecting palm trees, their leaves, and different types of foliage. Machine Learning (ML) Data: The diversity of palm species and the variety of captured angles provide a robust dataset for training models aimed at plant identification, classification, and recognition. Deep Learning (DL) Data: The multi-angle shots of palms are ideal for deep learning applications that require complex features, such as image segmentation, object tracking, and even 3D reconstruction of plant structures. Environmental AI Applications: With detailed imagery, this dataset is suited for models used in environmental analysis, where palm trees play a role in ecosystem recognition or climate change studies. Broader Data Offering: This dataset is a valuable addition to FileMarket’s extensive data offerings. It can be easily integrated with other datasets, such as those related to geography, climate, or biodiversity, creating more holistic AI models. Whether you are developing applications for botany research, environmental monitoring, or advanced plant recognition, this dataset is a foundational asset for AI training.

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.

dsfasdfsadfa

Dive into Success.ai's extensive database featuring 28M+ full US company profiles and contact data. With AI-validated accuracy and comprehensive coverage, we offer tailored data solutions equipped with enrichment APIs that comply with regulatory standards, all at the best price. Success.ai provides an extensive US Company Data service with access to over 28 million full company profiles and associated contact data. This service is tailored to enhance your business intelligence with precise and up-to-date information, ensuring you have the insights you need to make informed decisions. API Integration: Our Enrichment APIs facilitate seamless integration and real-time updates, making it easier than ever to maintain accurate and current data within your systems. These APIs allow for efficient data management and can be customized to fit your specific needs, enhancing both the utility and accessibility of the data. Benefits of Success.ai’s US Company Data: - Comprehensive Data Coverage: Explore in-depth profiles that include financial details, company registries, and critical contact information. - Regulatory Compliance: Our data solutions are GDPR-compliant, ensuring that you can use our services with confidence, adhering to the highest standards of data privacy and security. - Tailored Data Preparation: We understand that every business has unique needs. Our data is prepared to meet your specific requirements, offering flexibility and precision. - Best Price & Quality Guarantee: We are committed to providing the highest quality data at the most competitive prices, ensuring you receive unmatched value for your investment. Key Use Cases: - Market Research: Gain a competitive edge with comprehensive insights into the US business landscape. - Sales and Marketing: Leverage detailed company and contact data to tailor your outreach and improve engagement with key decision-makers. - Risk Management: Assess company stability and industry positioning with our detailed financial data. - Strategic Planning: Utilize our extensive company data for scenario planning and strategic business decisions. Why Choose Success.ai? Choose Success.ai for its robust US Company Data capabilities. Our commitment to providing detailed, accurate, and up-to-date information, paired with our innovative API technology, makes us a leader in the data services industry. Let us help you harness the power of data to propel your business forward. And no one beats us on price!