Datos brings to market anonymized, at scale, consolidated privacy-secured datasets with granularity rarely found in market. Datos offers access to the desktop and mobile browsing behavior for millions of users across the globe, packaged into clean, easy to understand data products and reports for use by our clients.

The Datos Keywords Feed is an aggregated accounting of all observed searches executed on up to nine major search properties worldwide, with both raw and projected statistics available.

1. Overview This dataset is a collection of 1,000+ footages of fire 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. Use case The 1,000+ footages of fire in multiple scenes could be used for various AI & Computer Vision models: Fire Detection, Factory Alert System, Surveillance Camera System,... Each data set is supported by both AI and human review process to ensure labelling consistency and accuracy. Contact us for more custom datasets.

3. Annotation Annotation is available for this dataset on demand, including:

4. Video annotation

5. Classification

6. Segmentation ...

7. 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. Visit us at https://www.pixta.ai/ or contact via our email contact@pixta.ai.

SafeGraph Places provides baseline information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations).

SafeGraph Places is a point of interest (POI) data offering with varying coverage depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema.

SafeGraph provides clean and accurate geospatial datasets on 52M+ physical places/points of interest (POI) globally. Hundreds of industry leaders like Mapbox, Verizon, Clear Channel, and Esri already rely on SafeGraph POI data to unlock business insights and drive innovation.

People data is our proprietary mobile user dataset that links anonymous IDs to multiple attributes related to demographics, device ownership, audience segments, key locations, and more. This enables our partner brands to get a holistic view of a consumer based on their persona and be able to instantly gain actionable insights.

People Data Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as user demographics,anonymous id, device details, location, affluence, interests, traveled countries, and so on.

Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly/quarterly).

Business Needs: Consumer Insights: Gain a complete 360-degree view of the customer to detect behavioral changes, assess patterns, and forecast business effects. Data Enrichment; Leverage O2O consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment. Sales Forecasting: Analyze consumer behavior to predict sales and monitor performance of investments Retail Analytics: Analyze footfall trends in various locations and gain an understanding of customer personas.

Data Attributes: anonymous id id_type Age Gender Carrier Make Model OS os_version home_country Home_geohash Work_geohash Device_price Device_age Affluence Brands_visited Place_categories Geo_behaviour Interests travelled_countries

Envestnet | Yodlee's Bank Statement Data Panel captures de-identified payroll information to deliver valuable employment insights, such as a company's wage costs, seasonal performance, headcount, hiring, layoffs, and more.

De-identified payroll data analytics for major employers gives decision makers insight into employment trends across many industries. The payroll product includes 1000+ employers and data can be used for company specific or macro purposes. - 4800+ employers tagged - Frequency of payroll identified (i.e. weekly, bi-weekly)
- Data at user and account level to allow for cohort analysis (e.g. Macys likely to lose 10% of revenue due to unemployment within their cohort)

New Features - Mapping to Category codes and Employer Dependency Scoring Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

This Brazil mobility dataset, provided by Intuizi, is essential for understanding mobility patterns across specific areas in Brazil. Customers use this comprehensive mobile location data to build sophisticated mobility data models, analyze visitation to their own or competitors' premises, and investigate changes in visitation patterns over time. The Intuizi Visitation Dataset includes fully-consented mobile device data, de-identified at the source by entities legally authorized to process such data. We ensure the creation of a de-identified dataset of encrypted ID visitation and mobility data, making it a reliable source for detailed location data insights. Whether you need visit data or aggregated foot traffic data, Intuizi provides the precise solution you require.

BatchData is used by lead generation, product, operations, and acquisitions teams to power websites, fuel applications, build lists, enrich data, and improve data governance. A suite of APIs and self-service list building platforms provide access to 150M+ residential properties.

Residential Real Estate Data includes: - Property Address Information - Assessment Details - Building Characteristics - Demographics - Foreclosure - Occupancy/Vacancy - Involuntary Liens - MLS & Agent Arrays - Owner Names & Mailing Address - Property Owner Profiles - Current & Prior Sales - Tax Information - Valuation & Equity

Real Estate Data APIs include: - Residential Property Search - Residential Property Lookup - Residential Address Verification - Residential Property Skip Trace - Geocoding

BatchData's robust data science team curates over a dozen primary and secondary tier 1 data sources to offer unparalleled database depth, accuracy, and completeness.

Convert websites into useful data Fully managed enterprise-grade web scraping service Many of the world's largest companies trust ScrapeHero to transform billions of web pages into actionable data. Our Data as a Service provides high-quality structured data to improve business outcomes and enable intelligent decision making

Join 8000+ other customers that rely on ScrapeHero

Large Scale Web Crawling for Price and Product Monitoring - eCommerce, Grocery, Home improvement, Shipping, Inventory, Realtime, Advertising, Sponsored Content - ANYTHING you see on ANY website.

Amazon, Walmart, Target, Home Depot, Lowes, Publix, Safeway, Albertsons, DoorDash, Grubhub, Yelp, Zillow, Trulia, Realtor, Twitter, McDonalds, Starbucks, Permits, Indeed, Glassdoor, Best Buy, Wayfair - any website.

Travel, Airline and Hotel Data Real Estate and Housing Data Brand Monitoring Human Capital Management Alternative Data Location Intelligence Training Data for Artificial Intelligence and Machine Learning Realtime and Custom APIs Distribution Channel Monitoring Sales Leads - Data Enrichment Job Monitoring Business Intelligence and so many more use cases

We provide data to almost EVERY industry and some of the BIGGEST GLOBAL COMPANIES

United States Consumer List Database with full contact information, including; Addresses, Telephone Numbers, Email Address and Location as well as hundreds of available consumer behavior/buying activity/lifestyle/interest attributes. Attribute categories include; Income, Net Worth, Home Ownership, Vehicle Ownership, Loan and Mortgage, Credit Usage, Buying Activities, Donor History and Lifestyle Interests/Hobbies. Please contact us for a full list of available attributes, list counts, and pricing.

Unlock the power of ready-to-use data sourced from developer communities and repositories with Developer Community and Code Datasets.

Data Sources:

1. GitHub: Access comprehensive data about GitHub repositories, developer profiles, contributions, issues, social interactions, and more.

2. StackShare: Receive information about companies, their technology stacks, reviews, tools, services, trends, and more.

3. DockerHub: Dive into data from container images, repositories, developer profiles, contributions, usage statistics, and more.

Developer Community and Code Datasets are a treasure trove of public data points gathered from tech communities and code repositories across the web.

With our datasets, you'll receive:

• Usernames;
• Companies;
• Locations;
• Job Titles;
• Follower Counts;
• Contact Details;
• Employability Statuses;
• And More.

Choose from various output formats, storage options, and delivery frequencies:

• Get datasets in CSV, JSON, or other preferred formats.
• Opt for data delivery via SFTP or directly to your cloud storage, such as AWS S3.
• Receive datasets either once or as per your agreed-upon schedule.

Why choose our Datasets?

1. Fresh and accurate data: Access complete, clean, and structured data from scraping professionals, ensuring the highest quality.

2. Time and resource savings: Let us handle data extraction and processing cost-effectively, freeing your resources for strategic tasks.

3. Customized solutions: Share your unique data needs, and we'll tailor our data harvesting approach to fit your requirements perfectly.

4. Legal compliance: Partner with a trusted leader in ethical data collection. Oxylabs is trusted by Fortune 500 companies and adheres to GDPR and CCPA standards.

Pricing Options:

Standard Datasets: choose from various ready-to-use datasets with standardized data schemas, priced from $1,000/month.

Custom Datasets: Tailor datasets from any public web domain to your unique business needs. Contact our sales team for custom pricing.

Experience a seamless journey with Oxylabs:

• Understanding your data needs: We work closely to understand your business nature and daily operations, defining your unique data requirements.
• Developing a customized solution: Our experts create a custom framework to extract public data using our in-house web scraping infrastructure.
• Delivering data sample: We provide a sample for your feedback on data quality and the entire delivery process.
• Continuous data delivery: We continuously collect public data and deliver custom datasets per the agreed frequency.

Empower your data-driven decisions with Oxylabs Developer Community and Code Datasets!

SafeGraph Places provides baseline location information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. Company dataset can be used to ingest a list of business information such as phone number for lead generation. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations).

SafeGraph Places is a point of interest (POI) data offering with varying coverage depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema.

SafeGraph provides clean and accurate geospatial datasets on 51M+ physical places/points of interest (POI) globally. Hundreds of industry leaders like Mapbox, Verizon, Clear Channel, and Esri already rely on SafeGraph POI data to unlock business insights and drive innovation.

1. Overview This dataset is a collection of high view traffic images in multiple scenes, backgrounds and lighting conditions 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. Use case This dataset is used for AI solutions training & testing in various cases: Traffic monitoring, Traffic camera system, Vehicle flow estimation,... Each data set is supported by both AI and human review process to ensure labelling consistency and accuracy. Contact us for more custom datasets.

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. Visit us at https://www.pixta.ai/ for more details.

In today's marketing world, it's all about reaching the right people. That's why we've developed this platform that gives you access to over 2 million marketing and advertising contacts at roughly 500,000 companies across the U.S. What makes our data different? We actually send newsletters to these contacts regularly, so we know the emails work and people are engaging with them. No more wasted outreach to dead addresses! Our database covers the full marketing spectrum - from brand managers to social media specialists, content creators to analytics pros. For each contact, you get their business email, postal address, direct dial, and even mobile numbers, so you can reach them however works best. We also provide location data for both companies and individuals, making it easy to run targeted local campaigns. And we go beyond just contact info - you'll get insights into their tech stack, company structure, size, industry, and revenue metrics. This isn't just another contact list. It's a complete targeting system that helps you deliver the right message to exactly the right marketing professional at the perfect time. It's transformed how our clients approach their outreach efforts.

With 36,000 Businesses in Costa Rica, Techsalerator has access to the highest B2B count of Data in the country.

Thanks to our unique tools and large data specialist team, we are able to select the ideal targeted dataset based on the unique elements such as sales volume of a company, the company's location, no. of employees etc...

Whether you are looking for an entire fill install, access to our API's or if you are just looking for a one-time targeted purchase, get in touch with our company and we will fulfill your international data need.

1. Specifications Data size : 100,000 id

Population distribution : gender distribution: balance gender; race distribution: Caucasians,blacks,Indians,Asians; age distribution: aged from 18 to 60

Collection environment : In-car Cameras

Collection diversity : multiple races, multiple age periods, multiple time periods and behaviors (Dangerous behavior, Fatigue behavior, Visual movement behavior)

Device : binocular camera of RGB and infrared channels, the resolutions are 640x480

Collection time : day, evening and night

Image parameter : the video format is .avi

Accuracy : according to the accuracy of each person's action, the accuracy is greater than 95%; the accuracy of label annotation is not less than 95%

1. About Nexdata Nexdata owns off-the-shelf PB-level Large Language Model(LLM) Data, 1 million hours of Audio Data and 800TB of Annotated Imagery Data. These ready-to-go Annotated Imagery Data supports instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.nexdata.ai/datasets/computervision?source=Datarade

1. Specifications Data size : 10,000 ID

Race distribution : Asian, Caucasian, Black, Brown

Gender distribution : male, female

Age distribution : from teenagers to the elderly, mainly young and middle-aged

Collection environment : indoor office scenes, in-car,conference, etc.

Collection diversity : different gestures data, different races, different age groups, different scenes

Collection equipment : cellphone, laptop camera, in-car camera

Data format : .mp4, .mov, .jpg

Accuracy rate : the accuracy exceeds 97% based on the accuracy of the actions; the accuracy of action naming is more than 97%

1. About Nexdata Nexdata owns off-the-shelf PB-level Large Language Model(LLM) Data, 1 million hours of Audio Data and 800TB of Annotated Imagery Data. These ready-to-go machine learning (ML) data supports instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.nexdata.ai/datasets/computervision?source=Datarade

1. Specifications Data size : 60,000 ID

Population distribution : the race distribution is Asians, Caucasians and black people, the gender distribution is male and female, the age distribution is from children to the elderly

Collecting environment : including indoor and outdoor scenes (such as supermarket, mall and residential area, etc.)

Data diversity : different ages, different time periods, different cameras, different human body orientations and postures, different ages collecting environment

Device : surveillance cameras, the image resolution is not less than 1,9201,080

Data format : the image data format is .jpg, the annotation file format is .json

Annotation content : human body rectangular bounding boxes, 15 human body attributes

Quality Requirements : A rectangular bounding box of human body is qualified when the deviation is not more than 3 pixels, and the qualified rate of the bounding boxes shall not be lower than 97%;Annotation accuracy of attributes is over 97%

1. About Nexdata Nexdata owns off-the-shelf PB-level Large Language Model(LLM) Data, 1 million hours of Audio Data and 800TB of Annotated Imagery Data.These ready-to-go Identity Data support instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.nexdata.ai/datasets/computervision?source=Datarade

We collect contact details for more than 150 000+ companies and add new data each day to our Data set.

All information is collected manually, and phone numbers are valid and are used for calling software.

70% of companies are from the US; the other 30 are from Europe and English-speaking countries.

1. Image Description Data Data Size: 500 million pairs Image Type: generic scene(portrait, landscapes, animals,etc), human action, picture book, magazine, PPT&chart, App screenshot, and etc. Resolution: 4K+ Description Language: English, Spanish, Portuguese, French, Korean, German, Chinese, Japanese Description Length: text length is no less than 250 words Format: the image format is .jpg, the annotation format is .json, and the description format is .txt

2. Video Description Data Data Size: 10 million pairs Image Type: generic scene(portrait, landscapes, animals,etc), ads, TV sports, documentaries Resolution: 1080p+ Description Language: English, Spanish, Portuguese, French, Korean, German, Chinese, Japanese Description Length: text length is no less than 250 words Format: .mp4,.mov,.avi and other common formats;.xlsx (annotation file format)

3. About Nexdata Nexdata owns off-the-shelf PB-level Large Language Model(LLM) Data, 1 million hours of Audio Data and 800TB of Annotated Imagery Data. These ready-to-go data supports instant delivery, quickly improve the accuracy of AI models. For more details, please visit us at https://www.nexdata.ai/datasets/llm?source=Datarade

This is a data set of individuals who work from home in the United States. Data can be segmented and ordered based on State, City, Individual age, and gender. Data also includes first name, last name, email, address, zip code, and phone number. The dates the data was collected were from 07/01/2022 - 10/04/2022.