LVOS is a dataset for long-term video object segmentation (VOS). It consists of 220 videos with a total duration of 421 minutes. The videos in our LVOS last 1.59 minutes on average, which is 20 times longer than videos in existing VOS datasets. Each video includes various attributes, especially challenges deriving from the wild, such as long-term reappearing and cross-temporal similar objects.

Youtube-VOS is a Video Object Segmentation dataset that contains 4,453 videos - 3,471 for training, 474 for validation, and 508 for testing. The training and validation videos have pixel-level ground truth annotations for every 5th frame (6 fps). It also contains Instance Segmentation annotations. It has more than 7,800 unique objects, 190k high-quality manual annotations and more than 340 minutes in duration.

Ref-Youtube-VOS is an extensive referring video object segmentation dataset that comprises approximately 15,000 referring expressions associated with more than 3,900 videos.

💡 Description A new benchmark, Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation (M$^3$-VOS), to verify the ability of models to understand object phases, which consists of 479 high-resolution videos spanning over 10 distinct everyday scenarios. We collected 205,181 masks, with an average track duration of 14.27s. M$^3$-VOS covers 120+ categories of objects across 6 phases within 14 scenarios, encompassing 23 specific phase transitions.

Venue: CVPR2025 Repository: Tool 🛠️, Page🏠 Paper: arxiv.org/html/2412.13803v2 Point of Contact: Jiaxin Li , Zixuan Chen

The YouTube-VOS dataset is a benchmark for video object segmentation.

Download following datasets:

  1. PASCAL-5i

Download PASCAL VOC2012 devkit (train/val data): wget http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar

Download PASCAL VOC2012 SDS extended mask annotations.

  2. COCO-20i

Download COCO2014 train/val images and annotations: wget http://images.cocodataset.org/zips/train2014.zip wget http://images.cocodataset.org/zips/val2014.zip wget http://images.cocodataset.org/annotations/annotations_trainval2014.zip… See the full description on the dataset page: https://huggingface.co/datasets/zaplm/IC-VOS.

Background: Patients with large vessel occlusion stroke (LVOS) eligible for mechanical thrombectomy (MT) are at risk for stroke- and non-stroke-related complications resulting in the need for tracheostomy (TS). Risk factors for TS have not yet been systematically investigated in this subgroup of stroke patients.Methods: Prospectively derived data from patients with LVOS and MT being treated in a large, academic neurological ICU (neuro-ICU) between 2014 and 2019 were analyzed in this single-center study. Predictive value of peri- and post-interventional factors, stroke imaging, and pre-stroke medical history were investigated for their potential to predict tracheostomy during ICU stay using logistic regression models.Results: From 635 LVOS-patients treated with MT, 40 (6.3%) underwent tracheostomy during their neuro-ICU stay. Patients receiving tracheostomy were younger [71 (62–75) vs. 77 (66–83), p < 0.001], had a higher National Institute of Health Stroke Scale (NIHSS) at baseline [18 (15–20) vs. 15 (10–19), p = 0.009] as well as higher rates of hospital acquired pneumonia (HAP) [39 (97.5%) vs. 224 (37.6%), p < 0.001], failed extubation [15 (37.5%) vs. 19 (3.2%), p < 0.001], sepsis [11 (27.5%) vs. 16 (2.7%), p < 0.001], symptomatic intracerebral hemorrhage [5 (12.5%) vs. 22 (3.9%), p = 0.026] and decompressive hemicraniectomy (DH) [19 (51.4%) vs. 21 (3.8%), p < 0.001]. In multivariate logistic regression analysis, HAP (OR 21.26 (CI 2.76–163.56), p = 0.003], Sepsis [OR 5.39 (1.71–16.91), p = 0.004], failed extubation [OR 8.41 (3.09–22.93), p < 0.001] and DH [OR 9.94 (3.92–25.21), p < 0.001] remained as strongest predictors for TS. Patients with longer periods from admission to TS had longer ICU length of stay (r = 0.384, p = 0.03). There was no association between the time from admission to TS and clinical outcome (NIHSS at discharge: r = 0.125, p = 0.461; mRS at 90 days: r = −0.179, p = 0.403).Conclusions: Patients with LVOS undergoing MT are at high risk to require TS if extubation after the intervention fails, DH is needed, and severe infectious complications occur in the acute phase after ischemic stroke. These factors are likely to be useful for the indication and timing of TS to reduce overall sedation and shorten ICU length of stay.

The US Voluntary Observing Ships (VOS) report surface marine observations in both real-time (FM-13 ship format) and delayed-mode (International Maritime Meteorological Tape - IMMT format). To do this, most operating vessels use e-logbook software that allows an observer to enter information, then the software can transmit a real-time report as well as save the same report in a different format to the ship's hard drive for later access, i.e. delayed mode observation (DM). Once in port, all DM reports stored on the hard drive are retrieved and sent to the National Climatic Data Center for archiving and processing. The e-logbook software used in this dataset is the TurboWin+ program and structures data in the IMMT-5 format.

The YouTube-VOS 2018 dataset for video object segmentation.

[CVPR 2025] M3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation

If you like our project, please give us a star ⭐ on GitHub for the latest update.

  💡 Description

Venue: CVPR2025 Repository: 🛠️Tool, 🏠Page Paper: arxiv.org/html/2412.13803v2 Point of Contact: Jiaxin Li , Zixuan Chen

  📁 Structure

This dataset contains annotated videos and images for object segmentation tasks with phase transition information. The directory… See the full description on the dataset page: https://huggingface.co/datasets/Lijiaxin0111/M3_VOS.

This dataset tracks annual distribution of students across grade levels in International School At Bertha Vos

Low Vos Operational Amplifier Market Outlook

The global Low Vos Operational Amplifier market size was valued at approximately USD 2.1 billion in 2023 and is projected to reach USD 4.5 billion by 2032, growing at a CAGR of 8.9% during the forecast period. This growth is driven by increasing demand for high-precision and low-power electronic components across various applications, including consumer electronics, automotive, and industrial sectors.

One of the significant growth factors driving the Low Vos Operational Amplifier market is the increasing integration of advanced electronic systems in consumer electronics. With the rising adoption of smartphones, tablets, and other portable devices, there is a surge in demand for components that offer low offset voltage (Vos), high precision, and low power consumption. This trend is expected to continue as consumers demand more efficient and reliable electronic devices. Additionally, advancements in semiconductor technologies are enabling the development of more sophisticated operational amplifiers, further fueling market growth.

The automotive sector is another critical driver of the Low Vos Operational Amplifier market. Modern vehicles are equipped with numerous electronic systems for enhanced safety, navigation, and entertainment. The need for operational amplifiers that offer high precision and low noise is paramount in automotive applications such as advanced driver-assistance systems (ADAS) and electric vehicle (EV) battery management systems. As the automotive industry continues to evolve with the introduction of autonomous vehicles and increased electrification, the demand for low Vos operational amplifiers is expected to rise significantly.

Industrial automation and the Internet of Things (IoT) are also contributing to the market's growth. The adoption of IoT devices and industrial automation solutions requires high-performance operational amplifiers to ensure accurate signal processing and efficient power management. Low Vos operational amplifiers are essential in applications such as sensor signal conditioning, data acquisition systems, and process control. The ongoing trend towards smart factories and Industry 4.0 initiatives is likely to drive further demand in the industrial sector.

Regionally, the Asia Pacific region is expected to dominate the Low Vos Operational Amplifier market during the forecast period. The region's robust electronics manufacturing industry, coupled with significant investments in automotive and industrial sectors, is propelling market growth. Countries like China, Japan, and South Korea are leading in technological advancements and mass production capabilities, making the Asia Pacific a critical market for low Vos operational amplifiers. The region's growth is also driven by the increasing adoption of consumer electronics and the rising demand for electric vehicles.

Type Analysis

The Low Vos Operational Amplifier market can be segmented by type into General-Purpose, High-Precision, Low-Noise, Low-Power, and Others. General-Purpose operational amplifiers are widely used in various applications due to their versatility and cost-effectiveness. These amplifiers provide a balance between performance and cost, making them suitable for consumer electronics, automotive, and industrial applications. The demand for general-purpose operational amplifiers is expected to remain steady, driven by their widespread use and continuous improvements in performance and reliability.

High-Precision operational amplifiers are designed to offer extremely low offset voltage and high accuracy, making them ideal for applications that require precise measurements and signal conditioning. These amplifiers are crucial in medical devices, instrumentation, and test and measurement equipment, where accuracy is paramount. The growing focus on healthcare and the increasing adoption of advanced medical technologies are driving the demand for high-precision operational amplifiers.

Low-Noise operational amplifiers are essential in applications where minimizing noise is critical, such as in audio equipment, communication systems, and sensor signal processing. These amplifiers provide low input noise, ensuring high fidelity and accurate signal amplification. The rising demand for high-quality audio and communication systems, along with advancements in sensor technologies, is fueling the growth of low-noise operational amplifiers.

Low-Power operational amplifiers are designed to operate efficiently with minimal power consumptio

As explained in the readme file " Readme_Elec_Acta_443_(2023)_141957.pdf", this Dataset holds the raw data measured for the publication [Vos et al, Electrochim. Acta 443 (2023) 141957], as well as an explanation of the data analysis (with a manual and Python script) and additional files (including a pdf of the publication and its supporting material).

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

Discover the worldwide distribution of the De-vos surname. Present in 7 countries with 96 registered people.

Quarterly Revenue of VOS over the last years for every Quarter

Characteristics of the patients in the included studies.

Ischemic Stroke Rapid LVO Detection AI Market Outlook

As of 2024, the global ischemic stroke rapid LVO detection AI market size has reached USD 410 million, according to our latest research. The sector is experiencing robust expansion, with a projected compound annual growth rate (CAGR) of 21.7% from 2025 to 2033. By the end of the forecast period, the market is expected to attain a value of USD 2.93 billion. The primary growth driver is the increasing demand for timely and accurate large vessel occlusion (LVO) detection in ischemic stroke cases, as healthcare systems worldwide prioritize rapid intervention to improve patient outcomes.

The surge in ischemic stroke cases globally, coupled with increased awareness among healthcare providers about the devastating impact of delayed LVO detection, is fueling the adoption of AI-powered solutions. Traditional imaging and manual interpretation often result in critical delays, but AI-based rapid LVO detection systems have demonstrated the ability to significantly reduce diagnosis times. This technological advancement is particularly crucial in emergency settings, where every minute can make the difference between full recovery and permanent disability. Additionally, the growing integration of AI in radiology workflows has led to improved diagnostic accuracy, further driving market growth as hospitals and diagnostic centers seek to enhance their stroke care protocols.

Another significant growth factor is the evolving regulatory landscape and the increasing number of FDA and CE-approved AI solutions for stroke detection. Regulatory bodies are recognizing the clinical value of these tools, resulting in accelerated approvals and greater confidence among healthcare providers to adopt these technologies. Furthermore, strategic collaborations between technology vendors, healthcare institutions, and research organizations are fostering innovation and expanding the capabilities of AI algorithms for LVO detection. These partnerships are not only advancing product development but also facilitating large-scale clinical validation, which is essential for widespread market acceptance.

The market is also benefiting from the rising prevalence of telemedicine and teleradiology, especially in the wake of the COVID-19 pandemic. With healthcare systems under pressure to deliver remote and rapid care, AI-powered LVO detection tools have become indispensable in supporting emergency medical services and rural healthcare providers. The ability to deploy these solutions on cloud-based platforms has further enhanced their reach and scalability, making advanced stroke detection accessible even in resource-constrained settings. This trend is expected to continue, as healthcare providers increasingly recognize the value of AI in bridging the gap between urban and rural stroke care.

From a regional perspective, North America currently dominates the ischemic stroke rapid LVO detection AI market, accounting for the largest revenue share in 2024. This leadership is attributed to the region’s advanced healthcare infrastructure, high adoption rate of innovative technologies, and significant investments in AI-driven medical imaging. Europe follows closely, with strong government support for digital health initiatives and a growing emphasis on improving stroke care pathways. Asia Pacific, meanwhile, is poised for the fastest growth, driven by rising healthcare expenditure, expanding access to advanced imaging modalities, and increasing awareness about the benefits of early stroke detection. Latin America and the Middle East & Africa are also witnessing gradual adoption, although market penetration remains comparatively lower due to infrastructural and regulatory challenges.

Product Type Analysis

The ischemic stroke rapid LVO detection AI market is segmented by product type into software, hardware, and services. The software segment currently leads the market, accounting for the majority of revenue in 2024. This dominance is p

Abstract copyright UK Data Service and data collection copyright owner.

The purpose of this study was to construct a typology of local voluntary organisations; to investigate the formal and informal, educational and educative impact which they make on individuals, groups and communities, and the extent and methods of transmission and the effect on the quality of life; to note the origins and characteristics of good practice; to put forward any recommendations, from the findings, on the implications for national and local policy and for training and development.
Main Topics:

1. learning and change experienced by members and staff of a sample of 31 LVOs, sub-divided into social and group, content, occupational, political, and personal learning; transmission of LVOs' impact to individuals and communities, and the effect on the quality of life and citizenship; networking of VOs, among themselves and with statutory bodies, professionals and local business, with reference to the parts played by enabling organisations and individuals; characteristics and development of LVOs; learning in relation to LVOs' characteristics; comparison of men's and women's activities in LVOs; terminal educational age; leadership in LVOs.
Categoric variables were constructed from the data of the two Surveys: forms of learning; methods and extents of transmission; strengths of links in networks; specialist/generalist VOs; inward/outward-looking VOs; dynamic/static/divergent VOs; degrees of incongruence in LVOs; leadership; participation in voluntary activities.

The Vehicle Operating System (VOS) market is experiencing robust growth, projected to reach $14.02 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) of 6.5% from 2025 to 2033. This expansion is driven by several key factors. The increasing adoption of advanced driver-assistance systems (ADAS) and autonomous driving features necessitates sophisticated and reliable operating systems capable of handling complex real-time data processing. Furthermore, the rising demand for connected car technologies, including in-vehicle infotainment systems and over-the-air (OTA) updates, fuels the need for robust and adaptable VOS solutions. The shift towards electric vehicles (EVs) also contributes to market growth, as these vehicles often require more complex software management than traditional internal combustion engine (ICE) vehicles. Competition is fierce, with established players like Microsoft, Google, and Blackberry competing alongside automotive giants like Tata Motors and specialized embedded systems companies like Wind River and Green Hills Software. The market is segmented by application (passenger cars and commercial vehicles) and by operating system type (QNX, Linux, Windows, Android, and others), reflecting the diverse technological landscape. Regional variations in market penetration are expected, with North America and Europe likely maintaining significant market shares due to higher adoption rates of advanced automotive technologies and a strong regulatory environment pushing for improved safety and connectivity. The competitive landscape is characterized by a mix of established technology providers and automotive manufacturers, each with their strengths and strategies. The dominance of specific operating systems will likely shift over time as new features and functionalities are introduced, and manufacturers adapt to emerging standards and industry trends. Factors such as security concerns, software scalability, and the development of standardized interfaces will continue to shape the evolution of the VOS market. The ongoing development of 5G and related infrastructure is also likely to further accelerate growth by enabling faster data transfer rates and enhanced connectivity, fueling demand for feature-rich VOS solutions. Restraints to growth include the high cost of development and implementation, the complexity of integrating various systems, and the need for stringent safety and security certifications. However, the long-term outlook remains positive, with the continued expansion of connected and autonomous vehicle technologies expected to drive significant market expansion throughout the forecast period.