Smart Spec

## Overview

Smart Spec is a dataset for object detection tasks - it contains Ahmed annotations for 330 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This dataset is associated with NIST TN publication: Review of Smart Grid Standards for Testing and Certification (T&C) landscape analysis. It includes a list of 240 reviewed smart grid standards for T&C landscape analysis using a set of functional metrics that include information models and model mapping, communication protocols and protocol mapping, device physical performance, test method, guide and practice, and cybersecurity of standards. These functional metrics are used to analyze smart grid standards and their T&C program availability.

Dataset

This dataset was created by Saquib Hussain

Contents

Dataset

This dataset was created by Suman Bera

Released under CC0: Public Domain

Contents

this a smartphone dataset

BCC Research Smart Retails and Smart Devices market provides a sampling of the type of quantitative market information, analysis, and guidance.

Supplementary dataset for "Smart homes for early diagnosis of mobility decline: A scoping review"

This dataset provides aggregated volumes of smart and non-smart meters connected to the National Grid Electricity Distribution network and includes SMETS1, SMETS2 and non smart meters. There are two main types of smart meters – the older models known as SMETS 1 (Smart Meter Equipment Technical Specifications) and the newer versions that were rolled out in 2018, known as SMETS 2. While SMETS2 meters offer many of the same benefits as SMETS1 meters, they contain the most up-to-date technology to help make life easier – especially if you ever want to switch supplier.

Explore the historical Whois records related to smartspec.net (Domain). Get insights into ownership history and changes over time.

This dataset captures rich, first-hand consumer experiences across financial services brands and products in the UK. Each record contains the review text and structured review metrics, including satisfaction score, NPS rating, brand and product identifiers, and metadata such as review datetime. This is an ideal resource for consultancies, businesses, researchers, analysts and AI/ML teams aiming to analyse financial services experiences, benchmark brands, or build consumer behaviour models.

Data is collected directly from Smart Money People’s independent review platform and updated monthly. It is anonymised, GDPR-compliant, and available as review-level raw data or aggregated monthly summaries. More in-depth and enhanced datasets are available.

Variants: Date, demographic, financial sector, product category

This dataset tracks annual distribution of students across grade levels in Frank L Smart Intermediate

Data extraction sheet from the scoping review.. Visit https://dataone.org/datasets/sha256%3Aae3bdddbdc498817c7591e3b5f20466e13a081d23099e4a59bfd27faaadef090 for complete metadata about this dataset.

Yearly citation counts for the publication titled "A review of conventional, advanced, and smart glazing technologies and materials for improving indoor environment".

Hepatocellular carcinoma (HCC) is the most common form of primary liver cancer, typically diagnosed in advanced stages. Chemotherapy is necessary for treating advanced liver cancer; however, several challenges affect its effectiveness. These challenges include low specificity, high dosage requirements, high systemic toxicity and severe side effects, which significantly limit the efficacy of chemotherapy. These limitations can hinder the treatment of HCC. This review focuses on the prevalence of HCC, different types of liver cancer and the staging of the disease, along with available treatment methods. Additionally, explores recent and relevant studies on smart drug- and gene-delivery systems specifically designed for HCC. These systems include targeted endogenous and exogenous stimuli-responsive platforms.Plain language summary: Liver cancer is the third leading cause of cancer deaths in the world that is usually diagnosed in the last stages. Chemotherapy is commonly used to treat advanced liver cancer, but it faces several challenges that reduce its effectiveness. These challenges include low specificity (not targeting cancer cells specifically), high dosage requirements and side effects that can affect anywhere in the body. As a result, the efficacy of chemotherapy is significantly limited, making it difficult to treat liver cancer. This review discusses the prevalence of liver cancer, different types of liver cancer and how the disease is staged. It also explores various treatment methods available for liver cancer. Furthermore, the article explores recent and relevant studies on smart drug- and gene-delivery systems that are specifically designed to target liver cancer. These systems include platforms that respond to targeted and internal or external stimuli. They aim to improve the effectiveness of treatment for liver cancer.

The Intelligent Document Review (IDR) market is experiencing significant growth, driven by the increasing volume of unstructured data and the need for efficient and accurate legal and compliance processes. The market's expansion is fueled by several key factors, including the rising adoption of cloud-based solutions, the development of sophisticated AI and machine learning algorithms that enhance accuracy and speed, and the growing demand for improved efficiency and reduced costs in legal and regulatory processes. Companies across various sectors, including legal, financial services, and healthcare, are increasingly adopting IDR solutions to streamline document review, improve decision-making, and mitigate risk. This shift is further accelerated by stringent regulatory requirements and the need to handle complex litigation efficiently. We estimate the market size in 2025 to be around $2.5 billion, considering the rapid technological advancements and increasing adoption rates across diverse industries. A conservative CAGR of 15% for the forecast period (2025-2033) suggests a substantial market expansion in the coming years, reaching approximately $8 billion by 2033. However, the market also faces certain challenges. High initial investment costs associated with implementing IDR technologies, the need for skilled professionals to manage and interpret the results, and concerns regarding data security and privacy can act as restraints. Despite these, the overall market outlook remains positive due to continued innovation and the compelling value proposition offered by IDR solutions – enabling quicker, cheaper, and more accurate analysis of vast document sets. The segmentation of the market is likely driven by deployment type (cloud vs. on-premise), functionality (eDiscovery, contract analysis, etc.), and industry vertical. The competitive landscape is dynamic, with established players and emerging startups vying for market share through continuous product development and strategic partnerships. The continued improvement of AI algorithms, enhanced user interfaces and integrations within existing workflows will likely be key differentiators in this competitive market.

Data collected from primary studies.

We 1) identified the main approaches and services that are applied in the city and SGB-level SWM systems, 2) listed sensors and actuators and analyzed their application in various types of SWM systems, 3) listed the direct and indirect stakeholders of the SWM systems, 4) identified the types of data shared between the SWM systems and stakeholders, and 5) identified the main promising directions and research gaps in the field of SWM systems.

Smart homes represent the complement of various automation technologies that together make up a network of devices facilitating the daily tasks of residents. These technologies are being studied for their application from different sectors, including the projection of their use to improve energy consumption planning and health care management. However, technology adoption depends on social awareness within the scope of cognitive advantages and innovations compared to perceived risk because although there are multiple benefits, potential users express fears related to the loss of autonomy and security. This study carries out a systematic literature review based on PRISMA in order to analyze research trends and literary evolution in the technological adoption of smart homes, considering the main theories and variables applied by the community. In proposing a research agenda in accordance with the identified gaps and the growing and emerging themes of the object of study, it is worth highlighting the growing interest in the subject, both for the present and its development in the future. Until now, adoption factors have been attributed more to the technological acceptance model and the diffusion of innovation theory, adopting components of the Theory of Planned Behavior; therefore, in several cases, the attributes of different theories are merged to adapt to the needs of each researcher, promoting the creation of empirical and extended models.

A substantial number of smart grid developments took place in February 2015, including product launches, fundraising, and the announcement and completion of contracts and projects. A total of 15 contracts were completed between February and March 2015, involving key players such as Envision Solar, Aidon, Elster, Landis+Gyr, GE Digital Energy, Prysmian, ParStream, EnerNOC, ABB, and HPEV. Two companies engaged in fundraising in February. Commonwealth Edison (ComEd) raised funds through private public offerings, and Space-Time Insight raised funds through venture financing. Other announcements were made regarding appointments, management changes, and investment. A total of 19 projects were reported in February. Read More

The global Intelligent Document Review (IDR) market size was valued at USD 7.66 billion in 2025 and is projected to grow from USD 10.20 billion in 2023 to USD 40.25 billion by 2033, exhibiting a CAGR of 19.8% during the forecast period. The growth of the market is attributed to the increasing adoption of IDR solutions by various industries to improve the efficiency and accuracy of their document review processes. IDR solutions use artificial intelligence (AI) and machine learning (ML) algorithms to automatically review and classify documents, which can significantly reduce the time and cost associated with manual document review. North America is expected to hold the largest market share throughout the forecast period due to the early adoption of IDR solutions by various industries in the region. The Asia Pacific region is expected to witness the highest growth rate during the forecast period due to the increasing adoption of IDR solutions by various industries in the region, such as banking, financial services, and insurance (BFSI), healthcare, and legal. The key drivers of the IDR market growth include the increasing volume of data, the need for efficient and accurate document review, and the growing adoption of AI and ML technologies.

The smart flowerpot market is experiencing robust growth, driven by increasing urbanization, rising consumer disposable incomes, and a growing preference for convenient and technologically advanced gardening solutions. The market's expansion is fueled by several key trends, including the integration of smart home ecosystems, the development of sophisticated sensors for optimized plant care, and the increasing availability of aesthetically pleasing and space-saving designs. Consumers are increasingly drawn to features such as automated watering systems, nutrient monitoring, and even integrated lighting, offering convenience and improved plant health. While the initial cost of smart flowerpots might be a barrier for some consumers, the long-term benefits of reduced water waste, enhanced plant growth, and improved overall gardening experience are driving adoption. Segmentation reveals a strong demand in both family and office settings, with automatic watering functionality being a particularly desirable feature. Competitive landscape analysis indicates a range of players, from established technology companies like Xiaomi to specialized smart gardening startups like LetPot and Oliz Smart Gardening, suggesting a dynamic market with diverse offerings. Geographic distribution shows significant market potential across North America, Europe, and Asia Pacific, with developing economies exhibiting strong growth potential as disposable incomes rise and technology adoption accelerates. Challenges include overcoming potential technical issues, ensuring robust customer support, and maintaining cost-competitiveness against traditional flowerpots. However, the continued innovation in sensor technology, app integrations, and overall design aesthetics positions the smart flowerpot market for continued expansion in the coming years. The projected Compound Annual Growth Rate (CAGR) and the current market size suggest a significant expansion. Considering the high-growth potential and the increasing demand for convenience in urban environments, the smart flowerpot market is poised for sustained growth. Future growth will be further propelled by advancements in artificial intelligence (AI) for plant health monitoring, further integration with smart home technology for seamless control and automation, and the development of subscription services that provide ongoing plant care support and replacement supplies. The market’s success hinges on continued innovation, competitive pricing strategies, and the development of user-friendly interfaces. The market’s ability to cater to a broad range of consumer needs and preferences, from novice gardeners to experienced horticultural enthusiasts, will be critical for achieving its full growth potential.

GlobalData announces the release of its monthly smart grid newsletter for February 2012 from the Smart Grid eTrack. The February newsletter provides insights about Outage Management Systems (OMS) in smart grids in the section “Technology Focus of the Month”, along with the review of Coulomb Technologies, Inc. in the “Smart Grid Company Focus of the Month”. The newsletter also provides updates on the industry reports and analysis alerts that GlobalData publishes periodically to assist its subscribers in strategic decision making. Read More