Samsung Prism- ROI Detector Computer Vision Project
Updated 2 years ago
Metrics
Here are a few use cases for this project:
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Sports App Development: The Samsung Prism-ROI Detector can be used by developers to create sports applications that automatically analyze and categorize different sports data (team information, match summary, stats, points table, player details, and lineup) from images or screenshots, enabling users to quickly access organized information and get insights about their favorite teams and players.
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Sports News Aggregation: This model can be used to build a sports news aggregator that automatically scrapes sports websites and identifies relevant data from visual content (such as sports event posters or scores displayed in images) to provide users with accurate and timely sports news, match summaries, and stats updates.
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Sports Betting Analysis: The Samsung Prism-ROI Detector can assist sports betting enthusiasts and professionals by analyzing images from various sources, extracting match statistics, player performance data, and lineup details to provide comprehensive information that helps users make informed decisions when placing bets on various sports events.
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Social Media Monitoring: Companies and public relation agencies working with sports teams, athletes, or sponsors can use the model to monitor social media platforms by analyzing images and detecting relevant sports content (like match stats, player performance, or team updates) to measure sentiment, engagement, and online impact on branding or marketing campaigns.
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Sports Data Research: Researchers in the field of sports analytics can use the Samsung Prism-ROI Detector to analyze and create structured datasets from historical and real-time visual information such as posters, print media, or video frames, making it easier to perform in-depth analysis on sports trends, player and team performance, or predicting future outcomes.
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Cite This Project
If you use this dataset in a research paper, please cite it using the following BibTeX:
@misc{
samsung-prism-roi-detector_dataset,
title = { Samsung Prism- ROI Detector Dataset },
type = { Open Source Dataset },
author = { psg college of technology },
howpublished = { \url{ https://universe.roboflow.com/psg-college-of-technology-dlv2w/samsung-prism-roi-detector } },
url = { https://universe.roboflow.com/psg-college-of-technology-dlv2w/samsung-prism-roi-detector },
journal = { Roboflow Universe },
publisher = { Roboflow },
year = { 2023 },
month = { may },
note = { visited on 2024-11-23 },
}