Code Issues Pull requests Home for all your GPS Tracks: Visualize, share and manage your GPS tracks. gps topography sports-analytics Updated Mar 10, 2025 HTML rjtavares / football-crunching Star 318 Code Iss
WEAR outdoor sports SportsScienceb DeepSportradar SportsStatisticsc KuaiRec Egocentric video and inertial-based sensor data for human activity recogni- tion (HAR) (Bock et al., 2023). Publicly available datasets for sport science projects. High-resolution basketball-related raw images, camera ...
⚽ datasets VisitRoboflow Universeand explore other sport-related datasets. 🔥 demos football-ai.mp4 🏆 contribution We love your input!Let us knowwhat else we should build! Releases No releases published Packages No packages published
No datasets were generated or analysed during the current study.Abbreviations NLP: Natural language processing CV: Computer vision ML: Machine learning DL: Deep learning SLR: Systematic literature review NER: Named entity recognition DHH: Deaf and hard of hearing IBM: International Business...
Though a bit dated, The Game of Life is an essential book for understanding college sports. The authors analyze datasets of colleges and universities from the 50s, 70s, and 80s to get a sense of the impact, costs, and benefits of college sports on college and beyond. Though they don’t...
3.Context is Key: Adjust for Matchups and Trends Statistics exist in a vacuum, and savvy bettors know how to adjust for context. Analyze past matchups between teams to identify trends and exploit historical weaknesses. 4.Don’t Be a Stats Zombie: Balance Numbers with Intuition ...
Data Annotation Tutorial: Definition, Tools, Datasets 3 Signs You Are Ready to Annotate Data for Machine Learning An Introductory Guide to Quality Training Data for Machine Learning 13 Best Image Annotation Tools And if you are interested to learn more about AI applications across other industries,...
Machine learning algorithms can process vast datasets to identify patterns and make predictions. Predictive Models: These use historical data to predict future outcomes. They can be as simple as regression models or as complex as neural networks. Real-time Data: Incorporating live data can adjust pr...
Studies presenting duplicate datasets were excluded from a meta-analysis to limit bias toward results of single study cohorts. To ensure as many years of data collection as possible were covered in the meta-analysis, some High School RIO data had a minor cross-over of datasets utilised. Studies...
These datasets are composed of multiple variables or sequences recorded over time, which can provide a comprehensive view of the system being studied. Their utilization in AI projects brings several added values: Holistic approach: Multivariate time series data enable the simultaneous analysis of ...