Dataset Card for Office-Home

The Office-Home dataset has been created to evaluate domain adaptation algorithms for object recognition using deep learning. It consists of images from 4 different domains: Artistic images, Clip Art, Product images and Real-World images. For each domain, the dataset contains images of 65 object categories found typically in Office and Home settings.

  Dataset Details

The dataset information is based on the original dataset website:… See the full description on the dataset page: https://huggingface.co/datasets/flwrlabs/office-home.

This dataset represents ambient data collected longitudinally in 189 community homes. The data are collected over 18 years, from 2007 to 2024. This is a resource for analyzing naturalistic behavior in a home and building activity recognition models that operate in the wild.

Data are collected continuously from ambient sensors while residents perform their normal routines. The data fields are date, time, sensor identifier, and message. The sensors consist of PIR (motion) sensors and magnetic door (open/close) sensors. Sensors are attached to ceilings and identified by their location in the home (e.g., Bathroom, Bedroom, DiningRoom, Bed, Bath, OfficeChair). If a home contains more than one room of a given type, the corresponding sensors are distinguished by a trailing letter to differentiate the rooms (e.g., BedroomA, BedroomB). The lens of most motion sensors are constrained to cover a 1 meter diameter area. To detect movement in a larger area, an unconstrained sensor is angled to cover an entire room or region and is indicated by Area (e.g., BedroomArea).

There is one file per home. Some of the homes also include floorplans. Additionally, data from some of the homes is labeled with activities by an external annotator. There homes in this dataset are listed below with the number of residents.

Smart homes contain programmable electronic devices (mostly IoT) that enable home au- tomation. People who live in smart homes benefit from interconnected devices by controlling them either remotely or manually/autonomously. However, high interconnectivity comes with an increased attack surface, making the smart home an attractive target for adversaries. NCC Group and the Global Cyber Alliance recorded over 12,000 attacks to log into smart home devices maliciously. Recent statistics show that over 200 million smart homes can be subjected to these attacks. Conventional security systems are either focused on network traffic (e.g., firewalls) or physical environment (e.g., CCTV or basic motion sensors), but not both. A key challenge in de- veloping cyber-physical security systems is the lack of datasets and test beds. For cyber-physical datasets to be meaningful, they need to be collected in real smart home environments. Due to the inherited difficulties and challenges (e.g. effort, costs, test-bed availability), such cyber-physical smart home datasets are quite rare. This paper aims to fill this gap by contributing a dataset we collected in a real smart home with annotated labels. This paper explains the process we followed to collect the data and how we organised them to facilitate wider use within research communities.A related article can be found at https://doi.org/10.3389/friot.2023.1275080

ed-donner/home-data dataset hosted on Hugging Face and contributed by the HF Datasets community

Graph and download economic data for Existing Home Sales (EXHOSLUSM495S) from Jun 2024 to Jun 2025 about headline figure, sales, housing, and USA.

As of 2023, the leading smart home segment in Indonesia was home entertainment, with nearly ***** million users. This indicated a rising interest in smart audio systems, streaming devices, and other entertainment equipment among Indonesian households. Within the same period, the number of security smart home users was approximately *** million. Overview of the Indonesian smart home market In recent years, a growing trend in smart homes has started to gain traction among Indonesian consumers. Among various segments, home entertainment gained the highest number of users, while smart appliances generated the most revenue. It was estimated that the revenue in the smart home entertainment market will increase by nearly ** million U.S. dollars over the next five years, and the smart appliances market will see its revenue almost ******* between 2023 and 2028. This indicates a growing interest in building connected and convenient homes for Indonesian households. Connectivity and security in Indonesia’s smart home adoption While the majority of Indonesian households have internet access, a significant portion of the access relies on mobile connections, which may not be optimal for robust smart home networks. The development of 5G technology facilitates faster and more reliable connections among smart devices. However, the availability of 5G in Indonesia is still minimal, posing a challenge to building comprehensive smart home setups. Furthermore, cybersecurity remains a concern as more data is gathered, shared between devices, and stored in the cloud. This indicates how crucial security measures and data protection are. Yet, the digital safety index score among Indonesians remains relatively low, highlighting the need for greater awareness and investment in cybersecurity to foster safe smart home adoption across the country.

Market Size and Growth: The global whole house smart home system market is anticipated to witness substantial growth, reaching a value of USD XX.X million by 2033, exhibiting a CAGR of XX% during the forecast period 2025-2033. The increasing demand for home automation and smart devices, coupled with the growing adoption of IoT (Internet of Things) technologies, is driving the market's expansion. Additionally, rising disposable income and a growing focus on home security and comfort are further fueling the market's growth. Market Trends and Key Players: The market is characterized by several notable trends, including the integration of artificial intelligence (AI), voice assistants, and energy management solutions into smart home systems. These advancements enhance user experience, convenience, and efficiency. Major players in the market include CONTROL4, ZDNET, HIS Technology, Google Home, Amazon Alexa, Apple HomeKit, and Samsung SmartThings. These companies are investing in research and development to offer innovative solutions and expand their market share. The market is also witnessing collaborations and partnerships between smart home system providers and traditional home appliance manufacturers, leading to the development of integrated and comprehensive smart home ecosystems.

State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.

These data are derived from the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15, 2020 through August 15, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.

Monthly single-family home sales in Connecticut, 2001 through the present. Data updated monthly by the Connecticut Housing Finance Authority and tracked in the following dashboard: https://www.chfa.org/about-us/ct-monthly-housing-market-dashboard/.

CHFA has stopped maintaining the dashboard and associated datasets, and this dataset will no longer be updated as of 2022.

The Latin American Smart Home Market Report is Segmented by Product Type (Comfort and Lighting, Control and Connectivity, Energy Management, Home Entertainment, Security, Smart Appliances, and HVAC Control), Technology (Wi-Fi, Bluetooth, and Other Technologies), and Country. The Report Offers the Market Sizes and Forecasts for all the Above Segments in Value (USD).

Existing Home Sales in Ireland increased to 2913 Units in May from 2908 Units in April of 2025. This dataset provides - Ireland Existing Home Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The China Smart Home Market Report is Segmented by Product Type (Comfort and Lighting, Control and Connectivity, Energy Management, Home Entertainment, Security, Smart Appliances, and HVAC Control) and Technology (Wi-Fi, Bluetooth, and Other Technologies). The Report Offers the Market Sizes and Forecasts for all the Above Segments in Value (USD).

The smart home systems and devices market is experiencing robust growth, driven by increasing consumer adoption of connected devices, rising disposable incomes, and a growing preference for convenience and automation. The market, while mature in certain segments like smart speakers (driven by established players like Amazon Echo and Google Assistant), continues to expand into new areas such as smart appliances, enhanced security systems, and integrated energy management solutions. Factors like improved internet connectivity, decreasing device costs, and the development of user-friendly interfaces are further fueling this expansion. While security concerns and interoperability issues pose challenges, the market's overall trajectory remains positive, with a projected continued rise in adoption across both residential and commercial applications. The competitive landscape is highly dynamic, featuring both established tech giants and specialized smart home companies vying for market share through innovation and strategic partnerships. Future growth will likely be shaped by the increasing integration of AI and machine learning, enabling more personalized and proactive home automation experiences. This growth is anticipated to continue through 2033, albeit at a potentially moderating CAGR, influenced by market saturation in some segments and ongoing economic conditions. The segment breakdown likely showcases a diverse range of devices, from smart lighting and thermostats to advanced security systems and home entertainment solutions. Regional variations in market penetration are expected, with developed regions like North America and Europe exhibiting higher adoption rates compared to emerging markets. However, emerging markets present significant untapped potential, promising considerable growth opportunities as infrastructure develops and consumer purchasing power increases. The success of individual companies within this market will depend on their ability to offer innovative, user-friendly products, robust security features, seamless integration with existing systems, and effective marketing strategies targeting specific consumer demographics.

Home prices in the U.S. reach new heights The American housing market continues to show remarkable resilience, with the S&P/Case Shiller U.S. National Home Price Index reaching an all-time high of 325.78 in July 2024. This figure represents a significant increase from the index value of 166.24 recorded in January 2015, highlighting the substantial growth in home prices over the past decade. The S&P Case Shiller National Home Price Index is based on the prices of single-family homes and is the leading indicator of the American housing market and one of the indicators of the state of the broader economy. The S&P Case Shiller National Home Price Index series also includes S&P/Case Shiller 20-City Composite Home Price Index and S&P/Case Shiller 10-City Composite Home Price Index – measuring the home price changes in the major U.S. metropolitan areas, as well as twenty composite indices for the leading U.S. cities. Market fluctuations and recovery Despite the overall upward trend, the housing market has experienced some fluctuations in recent years. During the housing boom in 2021, the number of existing home sales reached the highest level since 2006. However, transaction volumes quickly plummeted, as the soaring interest rates and out-of-reach prices led to housing sentiment deteriorating. Factors influencing home prices Several factors have contributed to the rise in home prices, including a chronic supply shortage, the gradual decline in interest rates, and the spike in demand during the COVID-19 pandemic. During the subprime mortgage crisis (2007-2010), the construction of new homes declined dramatically. Although it has gradually increased since then, the number of new building permits, home starts, and completions are still shy from the levels before the crisis. With demand outweighing supply, competition for homes can be fierce, leading to bidding wars and soaring prices. The supply of existing homes is further constrained, as homeowners are less likely to sell and move homes due to the worsened lending conditions.

Global Smart Home As A Service Market size worth at USD 7.60 Billion in 2023 and projected to USD 24.88 Billion by 2032, with a CAGR of around 14.08% between 2024-2032.

New Home Sales in Ireland increased to 911 Units in May from 840 Units in April of 2025. This dataset provides - Ireland New Home Sales- actual values, historical data, forecast, chart, statistics, economic calendar and news.

The Smart Home Security Services Market Report is Segmented by Product Type (Video Surveillance, Access Control, and More), Component (Hardware, Software, and Services), End-Use (Independent / Detached Homes, Apartments and Condominiums, and More), Installation Type (Professional Installation and Self Installation), and Geography.

Graph and download economic data for Median Sales Price of Existing Homes (HOSMEDUSM052N) from May 2024 to May 2025 about sales, median, housing, and USA.

Table from the American Community Survey (ACS) C16001 of language spoken at home for the population 5 years and over. These are multiple, nonoverlapping vintages of the 5-year ACS estimates of population and housing attributes starting in 2010 shown by the corresponding census tract vintage. Also includes the most recent release annually.King County, Washington census tracts with nonoverlapping vintages of the 5-year American Community Survey (ACS) estimates starting in 2010. Vintage identified in the "ACS Vintage" field.The census tract boundaries match the vintage of the ACS data (currently 2010 and 2020) so please note the geographic changes between the decades. Tracts have been coded as being within the City of Seattle as well as assigned to neighborhood groups called "Community Reporting Areas". These areas were created after the 2000 census to provide geographically consistent neighborhoods through time for reporting U.S. Census Bureau data. This is not an attempt to identify neighborhood boundaries as defined by neighborhoods themselves.Vintages: 2010, 2015, 2020, 2021, 2022, 2023ACS Table(s): C16001Data downloaded from: <a href='https://data.census.gov/' style='color:rgb(0, 97, 155); text

This dataset tracks the updates made on the dataset "COVID-19 Nursing Home Dataset" as a repository for previous versions of the data and metadata.