Here are a few use cases for this project:

1. Sports Analytics: The model can be used in advanced sports analytics to track the movement of the soccer ball during a game. This can be valuable in understanding game dynamics, player's reactions, game-winning tactics, and creating game analytics reports.

2. Broadcast Enhancement: The model could be used in broadcasting companies to automatically track the ball for enhanced viewer experience. The model could highlight the ball in real-time matches or replay segments, making it easier for viewers to follow the game.

3. Training Sessions: Trainers can use the model to track the ball and assess the performance of players during training sessions. The model can help in identifying the player's accuracy, speed, ball control, and shooting skills.

4. Video Game Development: The "soccer-ball-finding" model could be utilized in developing more realistic soccer video games. The model could help in enhancing the AI players' reaction and game strategy by understanding the real-time position of the ball and net.

5. Security & Lost-and-Found Services: The model could be used in stadiums and sports complexes to identify lost balls or misplaced equipment to facilitate quicker returns and reduce replacement costs.

We present the Single-dish PARKES data sets for finding the uneXpected (SPARKESX), a compilation of real and simulated high-time resolution observations. SPARKESX comprises three mock surveys from the Parkes ''Murriyang'' radio telescope. A broad selection of simulated and injected expected signals (such as pulsars, fast radio bursts), poorly known signals (such as the features expected from flare stars) and unknown unknowns are generated for each survey. We provide a baseline by presenting how successful a typical pipeline based on the standard pulsar search software, PRESTO, is at finding the injected signals.

The dataset is designed to aid in the development of new search algorithms, including image processing, machine learning, and deep learning. The raw data, ground truth labels, and baseline are provided.

The collection is split into 4 parts. See collections in related links. Part 1 - Ground truth labels, injected images, multibeam dataset Part 2 - PAF dataset Part 3 - PAF dataset Part 4 - PAF dataset

Publication: SPARKESX: Single-dish PARKES data sets for finding the uneXpected - A data challenge (Yong et a. 2022, submitted) Lineage: The injected signals and simulated data were created using CSIRO's open source simulateSearch software. The real data from the multibeam survey were acquired from the CSIRO Data Access Portal.

Gun Finding

## Overview

Gun Finding is a dataset for object detection tasks - it contains Guns annotations for 200 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).

(日本語版はこちら)

  Overview

This dataset provides information extracted from ≈ 7 k Japanese medical-journal articles (The Journal of the Japanese Society of Internal Medicine, 2003 – 2023).
For each row we include:

disease_text – the disease name (Japanese) findings – a list of related symptoms / examinations / complications
finding_description – sentences quoted verbatim to show how the term is used article metadata – article_id, authors, journal_meta, url

The JSON-Lines file… See the full description on the dataset page: https://huggingface.co/datasets/seiya/jp-disease-finding-dataset.

Email Finding Software Market Outlook

The global market size for email finding software was valued at approximately $1.2 billion in 2023 and is forecasted to reach around $3.5 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 12.5% during the forecast period. The robust growth in this market can be attributed to several factors including the increasing reliance on email as a core communication tool and the demand for more efficient lead generation techniques.

One of the primary growth factors driving the email finding software market is the explosion of digital marketing activities across various sectors. Companies are increasingly looking to improve their outreach and engagement by leveraging email marketing, which remains one of the most effective channels. The ability to locate and contact potential customers via email is crucial, fueling the demand for sophisticated email finding software. Additionally, the shift towards remote work has further emphasized the need for effective digital communication channels, propelling market growth.

Another significant driver is the rising adoption of automation and artificial intelligence (AI) technologies. Modern email finding software solutions are incorporating advanced AI algorithms to improve accuracy, efficiency, and scalability. These tools can sift through vast amounts of data to identify and verify email addresses, thereby reducing the time and effort required for manual searches. This technological advancement is expected to bolster the market's expansion over the forecast period.

The increasing emphasis on personalized and targeted marketing is also contributing to the market's growth. Email finding software allows companies to gather specific contact information, enabling them to tailor their marketing campaigns to individual preferences and behaviors. This personalized approach not only enhances customer engagement but also improves conversion rates, making email finding software an indispensable tool for businesses across various industries.

In this rapidly evolving digital landscape, the role of Email Verification Software has become increasingly significant. As businesses strive to maintain the integrity of their communication channels, ensuring the accuracy of email addresses is crucial. Email verification software plays a pivotal role in this process by validating email addresses before they are used for outreach. This not only helps in reducing bounce rates but also enhances the overall effectiveness of email marketing campaigns. By integrating email verification solutions, companies can ensure that their messages reach the intended recipients, thereby improving engagement and conversion rates. The growing emphasis on data quality and compliance with regulations such as GDPR underscores the importance of reliable email verification tools in today's market.

From a regional perspective, North America is anticipated to hold the largest market share due to the high adoption rate of digital technologies and the presence of numerous email marketing firms. Europe is also expected to witness significant growth, driven by stringent data protection regulations that encourage the use of verified and compliant email finding solutions. Meanwhile, the Asia Pacific region is poised for rapid growth, buoyed by increasing internet penetration and a burgeoning e-commerce sector.

Component Analysis

Software Analysis

The software segment constitutes a significant portion of the email finding software market, driven primarily by the increasing demand for automated solutions that enhance efficiency. Email finding software tools are designed to automate the process of locating and verifying email addresses, making them indispensable for marketing, sales, and recruitment activities. These tools often come with advanced features such as bulk email search, domain search, and email verification, which significantly reduce the time and effort required for manual searches.

One of the key trends in the software segment is the integration of artificial intelligence (AI) and machine learning (ML) capabilities. These technologies are being leveraged to improve the accuracy and efficiency of email finding software. AI algorithms can analyze vast amounts of data to identify patterns and predict the most likely email addresses, while ML models can continuously improve their accuracy over time

Mexico Exports of direction finding compasses; other navigational instruments to Denmark was US$525 during 2018, according to the United Nations COMTRADE database on international trade. Mexico Exports of direction finding compasses; other navigational instruments to Denmark - data, historical chart and statistics - was last updated on May of 2025.

This dataset is about books. It has 1 row and is filtered where the book is Finding Stevie : a dark secret ; a child in crisis. It features 7 columns including author, publication date, language, and book publisher.

Malawi Exports of direction finding compasses; other navigational instruments to Canada was US$510 during 2021, according to the United Nations COMTRADE database on international trade. Malawi Exports of direction finding compasses; other navigational instruments to Canada - data, historical chart and statistics - was last updated on June of 2025.

Latvia Exports of direction finding compasses; other navigational instruments to Sudan was US$111 during 2019, according to the United Nations COMTRADE database on international trade. Latvia Exports of direction finding compasses; other navigational instruments to Sudan - data, historical chart and statistics - was last updated on May of 2025.

According to a survey conducted in Great Britain between May 2023 and May 2024, online shops were the most popular source for both mobile and PC or console gamers to find about new games. Overall, 43 percent of mobile gamers and 44 percent of PC/console gamers were using this channel to find games. Consulting friends was the second most popular way of finding new games, while the same share of mobile and PC/console gamers referred to gaming personalities for this purpose.

A global study conducted in March 2020 gathered data on consumers' attitudes to, experiences of, and issues with news consumption regarding the coronavirus pandemic, and found that 74 percent of respondents were concerned about the amount of fake news being spread about the virus, which would impede their efforts to find out the facts that they need to stay updated. Others were met with challenges when seeking out trustworthy and reliable information, and 85 percent felt that the public should be given more coronavirus news and updates from scientists and less from politicians.

The job search methods of job seekers in human resource surveys - by age and educational level

Bahrain Imports from Russia of Direction Finding Compasses; Other Navigational Instruments was US$437 during 2020, according to the United Nations COMTRADE database on international trade. Bahrain Imports from Russia of Direction Finding Compasses; Other Navigational Instruments - data, historical chart and statistics - was last updated on June of 2025.

The most popular way for U.S. online shoppers to find coupons was with search engines, with 48 percent of respondents to a survey on digital coupons reporting this in 2024. Coupon websites were second-most popular, with 44 percent.

A 2019 survey of online consumers in the United States revealed that 46 percent of respondents used Facebook as their primary social channel to find out about new products. Instagram was the second most-used social channel for finding new products, with 37 percent of U.S. online consumers browsing the image-sharing platform for shopping purposes. In contrast, only 11 percent of U.S. online consumers browsed Twitter to find out about new products.

This dataset contains complementary data to the paper "A Row Generation Algorithm for Finding Optimal Burning Sequences of Large Graphs" [1], which proposes an exact algorithm for the Graph Burning Problem, an NP-hard optimization problem that models a form of contagion diffusion on social networks. Concerning the computational experiments discussed in that paper, we make available: - Four sets of instances; - The optimal (or best known) solutions obtained; - The source code; - An Appendix with additional details about the results. The "delta" input sets include graphs that are real-world networks [1,2], while the "grid" input set contains graphs that are square grids. The directories "delta_10K_instances", "delta_100K_instances", "delta_4M_instances" and "grid_instances" contain files that describe the sets of instances. The first two lines of each file contain: {n} {m} where {n} and {m} are the number of vertices and edges in the graph. Each of the next {m} lines contains: {u} {v} where {u} and {v} identify a pair of vertices that determines an undirected edge. The directories "delta_10K_solutions", "delta_100K_solutions", "delta_4M_solutions" and "grid_solutions" contain files that describe the optimal (or best known) solutions for the corresponding sets of instances. The first line of each file contains: {s} where {s} is the number of vertices in the burning sequence. Each of the next {s} lines contains: {v} where {v} identifies a fire source. The fire sources are listed in the same order that they appear in a burning sequence of length {s}. The directory "source_code" contains the implementations of the exact algorithm proposed in the paper [1], namely, PRYM. Lastly, the file "appendix.pdf" presents additional details on the results reported in the paper. This work was supported by grants from Santander Bank, Brazil, Brazilian National Council for Scientific and Technological Development (CNPq), Brazil, São Paulo Research Foundation (FAPESP), Brazil and Fund for Support to Teaching, Research and Outreach Activities (FAEPEX). Caveat: the opinions, hypotheses and conclusions or recommendations expressed in this material are the sole responsibility of the authors and do not necessarily reflect the views of Santander, CNPq, FAPESP or FAEPEX. References [1] F. C. Pereira, P. J. de Rezende, T. Yunes and L. F. B. Morato. A Row Generation Algorithm for Finding Optimal Burning Sequences of Large Graphs. Submitted. 2024. [2] Jure Leskovec and Andrej Krevl. SNAP Datasets: Stanford Large Network Dataset Collection. 2024. https://snap.stanford.edu/data [3] Ryan A. Rossi and Nesreen K. Ahmed. The Network Data Repository with Interactive Graph Analytics and Visualization. In: AAAI, 2022. https://networkrepository.com

This file provides instructions to replicate the key results from "Finding Fortune: How Do Institutional Investors Pick Asset Managers?" Our empirical analysis uses proprietary data that is protected by a non-disclosure aggreement (NDA) between the authors and the allocator. To replicate the regressions this code also simulates datasets that allow one to replicate the main tables in the paper. Please see included readme file for further details.

Number and percentage of children with long term conditions or disabilities aged 0 to 5 years by type of difficulty encountered in finding child care arrangements.

Fish Finding Sonars Market Outlook

The global fish finding sonars market size was estimated to be USD 1.45 billion in 2023 and is projected to reach approximately USD 2.78 billion by 2032, growing at a CAGR of 7.2% from 2024 to 2032. This growth can be attributed to technological advancements in sonar technology, increased demand for sustainable fishing methods, and the rising popularity of recreational fishing activities.

Several factors contribute to the growth of the fish finding sonars market. Firstly, the increasing adoption of advanced sonar technologies in commercial and recreational fishing is a significant driver. Modern sonar systems offer enhanced capabilities such as higher resolution and better target detection, making them essential tools for effective fish location. Additionally, the integration of GPS and wireless communication in sonar devices has expanded their functionalities, further boosting their adoption.

Another growth factor is the rising awareness of sustainable fishing practices. Overfishing and depleting fish stocks have led to stricter regulations and a greater emphasis on responsible fishing. Fish finding sonars enable fishermen to locate fish more accurately, reducing the time spent searching and minimizing environmental impact. This shift towards sustainable practices is expected to drive the demand for advanced sonar systems.

Furthermore, the increasing popularity of recreational fishing is contributing to market growth. Recreational fishing enthusiasts are investing in high-quality fish finders to enhance their fishing experience. The availability of user-friendly and affordable sonar devices has made them accessible to a broader audience, driving market expansion. The growing trend of outdoor leisure activities, coupled with rising disposable incomes, is expected to fuel the demand for fish finding sonars.

The Fish Finding System is an integral component of modern fishing practices, offering a sophisticated approach to locating fish with precision. This system combines advanced sonar technology with real-time data processing to provide fishermen with detailed insights into underwater environments. By utilizing high-frequency sonar waves, the Fish Finding System can accurately detect fish schools and underwater structures, enhancing the efficiency of both commercial and recreational fishing endeavors. The integration of GPS and wireless communication further augments its capabilities, allowing for seamless navigation and data sharing. As the demand for sustainable fishing methods grows, the Fish Finding System plays a crucial role in minimizing environmental impact while maximizing fishing yields.

In terms of the regional outlook, North America and Europe are expected to dominate the fish finding sonars market. These regions have a strong presence of commercial and recreational fishing activities, supported by well-established infrastructure and favorable regulations. The Asia Pacific region is also poised for significant growth, driven by the increasing adoption of advanced fishing technologies and the expansion of the fishing industry. Latin America and the Middle East & Africa are anticipated to witness moderate growth due to the growing awareness of sustainable fishing practices and improving economic conditions.

Product Type Analysis

The fish finding sonars market can be segmented by product type into portable and fixed sonars. Portable sonars are gaining popularity due to their ease of use and mobility. These devices are compact, lightweight, and can be easily transported, making them ideal for recreational fishing and smaller fishing vessels. The increasing demand for portable fish finders is driven by their affordability and user-friendly features, which attract a wide range of fishing enthusiasts. Additionally, advancements in battery technology have improved the performance and battery life of portable sonars, further boosting their adoption.

Fixed sonars, on the other hand, are widely used in commercial fishing operations. These systems are typically installed on larger fishing vessels and provide continuous and comprehensive underwater monitoring. Fixed sonars offer higher accuracy and coverage compared to portable units, making them essential for large-scale fishing operations. The demand for fixed sonars is driven by the need for efficient fish location and the increasing emphasis on maximizing fishing yields. As commercial fishing activities continue to