Sports Video Analysis

## Overview

Sports Video Analysis is a dataset for object detection tasks - it contains Objects annotations for 600 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).

AI Sports Analytics System

## Overview

AI Sports Analytics System is a dataset for object detection tasks - it contains Player annotations for 6,870 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 [MIT license](https://creativecommons.org/licenses/MIT).

Graph and download economic data for Real personal consumption expenditures: Membership clubs and participant sports centers (DMDFRX1A020NBEA) from 2007 to 2024 about sport, PCE, consumption expenditures, consumption, personal, real, GDP, and USA.

Sports Analytics Market is expected to grow at a high CAGR during the forecast period 2023-2030 | DataM Intelligence

Ranking of four fields (Sport types linked).

Analysis of ‘🩱 Sports Illustrated Covers’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/yamqwe/sports-illustrated-coverse on 13 February 2022.

--- Dataset description provided by original source is as follows ---

About this dataset

A data set listing the sports that have been on the cover of Sports Illustrated since 1955. Covers are grouped by year. You can see the related blog post here. Added: February 12, 2015 by CrowdFlower | Data Rows: 32000 Download Now

Source: https://www.crowdflower.com/data-for-everyone/

This dataset was created by CrowdFlower and contains around 100 samples along with Other Individual Sports, Surfing, technical information and other features such as: - Bowling - Boxing - and more.

How to use this dataset

• Analyze Horse Racing in relation to Figure Skating
• Study the influence of Skiing on Golf
• More datasets

Acknowledgements

If you use this dataset in your research, please credit CrowdFlower

Start A New Notebook!

--- Original source retains full ownership of the source dataset ---

Football Match Objects Dataset Overview The Football Match Objects Dataset is designed to support computer vision research and development in sports analytics. It contains images extracted from football matches along with annotations that identify various objects present in the game, such as players, referees, the ball, goal posts, and more.

Dataset Description Images: The dataset includes a collection of high-quality images captured during football matches.

Annotations: Each image is accompanied by annotation files (e.g., XML, JSON, or CSV format) that provide bounding boxes and labels for objects such as:

Players

Referees

Football (Ball)

Goals / Goal Posts

Other match-related objects (if applicable)

Note: Please update the list of object classes with additional details provided by the dataset documentation if available. Use Cases This dataset is suitable for various applications in computer vision, including:

Object detection and classification in sports scenes.

Developing deep learning models for tracking and analysis.

Sports analytics research and performance evaluation.

Building and testing computer vision systems for real-time match analysis.

Welcome to the captivating world of sports exploration! This dataset encapsulates a rich tapestry of information, delving into the lives of athletes, their dedicated managers, and the intricate dynamics of various sports teams. Compiled through meticulous API data extraction and profiling, this dataset offers a comprehensive view into the dynamic realm of sports.

Sports characteristics.

Graph and download economic data for Real personal consumption expenditures: Admissions to specified spectator amusements: Live entertainment, excluding sports (chain-type quantity index) (DLIGRA3A086NBEA) from 1959 to 2024 about amusements, sport, admissions, entertainment, quantity index, chained, PCE, consumption expenditures, consumption, personal, real, GDP, and USA.

This data set has performance stats for all the frequent players, who play the test format for Team India. Every player has two files that first file or the file ending with stats1 has stats for respective columns for the total playing span of the player. The second file or the file ending with stats2 has stats for respective years and seasons.

Please Note: The Dataset also has some players who do not play test matches, hence their ODI performance stats is given. (for example : Yuzvendra Chahal)

The columns may differ depending on the playing role of the player. All the abbreviations in the columns are the same as standard.

The data is acquired from https://www.espncricinfo.com/ and please feel free to visit the website if you have any confusion understanding the data.

overview row has the stats for a player's entire career, other rows are self-exploratory and are having stats in a particular condition.

The Cat column stands for the category, and all the other columns are standard abbreviations for different terms in crickets.

The data can be used to analyze and predict the performance of each player in the upcoming test matches and which players perform better in what conditions. This Data set can be used to practice real-life implementation of sports analytics and developing attractive dashboards.

Also if you like this dataset and want to see how I extracted the data you can visit my Github link: https://github.com/Jalota0110 , I will be posting my notebook there for data collection along with a few new players.

The True Twin snowboard market, currently valued at approximately $190 million in 2025, is projected to experience steady growth with a compound annual growth rate (CAGR) of 4.3% from 2025 to 2033. This growth is fueled by several key factors. The increasing popularity of freestyle snowboarding, where true twin boards excel due to their symmetrical design, is a significant driver. Furthermore, advancements in snowboard technology, including the use of more sustainable materials and improved board construction techniques, are enhancing performance and attracting a wider range of consumers. The rise of online retail channels and increased accessibility to snowboarding lessons are also contributing to market expansion. While competition from other snowboard types exists, the true twin segment’s niche appeal to freestyle and all-mountain riders ensures a dedicated customer base. Leading brands such as Burton, Capita, and Rossignol are constantly innovating to maintain their market share, driving further market development through product differentiation and marketing efforts. Despite the positive growth outlook, the market faces some challenges. Economic downturns can impact discretionary spending on sporting goods, potentially slowing growth. Additionally, the market is influenced by seasonal variations and weather patterns, affecting demand. The increasing popularity of other winter sports activities also presents some level of competition. However, the long-term growth potential remains significant, especially with the continuing rise in participation in winter sports, particularly among younger demographics. The industry’s focus on sustainability and technological improvements will play a crucial role in fostering further growth and innovation within the true twin snowboard market.

Sport Analytics

## Overview

Sport Analytics is a dataset for object detection tasks - it contains Sports annotations for 578 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 [MIT license](https://creativecommons.org/licenses/MIT).

GNN Sport Analysis

## Overview

GNN Sport Analysis is a dataset for object detection tasks - it contains Basket Ball annotations for 846 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).

Analysis of ‘Sports10 Data’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/lykin22/generalized-game-representations on 14 February 2022.

--- Dataset description provided by original source is as follows ---

Sports10 Dataset

A new dataset containing 100,000 Gameplay Images of 175 Video Games across 10 Sports Genres. The games are also divided into three visual styling categories: RETRO (arcade-style, the 1990s and earlier), MODERN (roughly 2000s) and PHOTOREAL (roughly late 2010s). Representing games through their pixels offers a promising approach for building general-purpose and versatile game models. While games are not merely images, neural network models trained on game pixels often capture differences of the visual style of the image rather than the content of the game. As a result, such models cannot generalize well even within similar games of the same genre. The findings of this data bring us closer to universal visual encoders for games that can be reused across previously unseen games without requiring retraining or fine-tuning.

Dataset Preview

https://github.com/ChintanTrivedi/contrastive-game-representations/blob/master/datasets/Sports10%20Dataset%20Preview.png?raw=true" alt="Dataset Preview">

If you find this dataset useful, please consider upvoting ❤️

--- Original source retains full ownership of the source dataset ---

Ranking of pairs (Top 30—Sport classification).

The Fantasy Sports Market size was valued at USD 22.38 billion in 2023 and is projected to reach USD 56.35 billion by 2032, exhibiting a CAGR of 14.1 % during the forecasts period. The Fantasy Sports Market can be defined as a segment comprising online venues at which people use actual sports players to construct ‘roster’ teams that perform on the statistical achievements of these actual team members in actual games. UST users can play a number of different sports such as football, basketball, baseball, soccer, etc interactively and for pleasure, or join a league or tournament for financial gain. A spread of smartphones, an emergence of eSports, multiple regions’ legalization of the sports betting are the key reasons for the market growth. Trends are the use of Big data, analytics, augmented reality, and integration of games for bettering up the engagement level of users. More so, affiliations with major sports leagues and teams are going mainstream to reach out for more people hence, enhance audience participation.

Graph and download economic data for Real Gross Domestic Product: Performing Arts, Spectator Sports, Museums, and Related Activities (711-712) in the United States (USPRFRMSPRTMSMRGSP) from 1997 to 2023 about museums, performance, sport, arts, entertainment, accommodation, recreation, GSP, private industries, food, services, private, real, industry, GDP, and USA.

Graph and download economic data for Real personal consumption expenditures: Sports and recreational goods and related services (chain-type quantity index) (DODRRA3A086NBEA) from 1929 to 2023 about sport, recreation, quantity index, chained, PCE, consumption expenditures, consumption, personal, goods, services, real, GDP, and USA.

The European sports team and clubs market, encompassing football, golf, rugby union, cricket, boxing, and other sports, is experiencing robust growth, projected to maintain a CAGR exceeding 7.20% from 2025 to 2033. This expansion is driven by several factors. The surging popularity of live sports broadcasting, particularly through streaming platforms, fuels significant media rights revenue. Increased merchandising sales, driven by strong brand loyalty and the growing influence of social media, contribute substantially. Furthermore, the lucrative sponsorship market, with brands vying for association with high-profile teams and athletes, significantly boosts overall market value. The increasing globalization of sports, coupled with rising disposable incomes in several European nations, further fuels demand for tickets and experiences surrounding these sporting events. While the market faces potential restraints from economic downturns that could impact spending on entertainment, the overall positive trajectory is expected to continue, particularly driven by the enduring appeal of popular sports like football (soccer) across various age demographics. Market segmentation by type (football dominating) and revenue source highlights the diverse revenue streams and potential for growth within specific areas. Key players such as SL Benfica, FC Barcelona, Real Madrid, and Bayern Munich play a pivotal role in shaping market dynamics. The UK, Germany, France, Italy, and Spain represent the largest market segments within Europe. The geographic distribution of revenue within Europe reflects the established dominance of major football leagues and the overall sporting culture in specific countries. While football dominates the revenue share, other sports are experiencing growth, albeit at a slower pace. Strategic partnerships, technological advancements enhancing fan engagement (e.g., virtual reality, augmented reality), and improved infrastructure for hosting events are anticipated to positively influence market growth. However, effective management of financial risks associated with player transfers and operational costs remains critical for long-term success for clubs and teams. The market's future prospects hinge on successfully adapting to evolving fan expectations and leveraging digital platforms to reach broader audiences. The forecast indicates continued strong expansion, driven by the enduring passion for sports across Europe and the increasing commercialization of the industry. Recent developments include: June 2023: The PGA Tour merged with LIV Golf, which is backed by the Saudi Arabia Public Investment Fund, an entity controlled by Saudi Crown Prince Mohammed bin Salman. PGA Tour exists as a membership organization for touring professional golfers and co-sanctioning tournaments., December 2022: Eagle Football Holdings Bidco Limited, a London-based group founded by digital entrepreneur and football enthusiast John Textors, acquired a significant controlling stake in French Ligue 1 soccer team Olympique Lyonnais Groupe SA.. Key drivers for this market are: Increase in Number of Spectators Watching Sports, Increase in Number of Sports Event Post COVID-19. Potential restraints include: Increase in Number of Spectators Watching Sports, Increase in Number of Sports Event Post COVID-19. Notable trends are: Rising Football And Soccer Industry In Europe.