How to Deal with Sports Activity Datasets for Data Mining and Analysis: Some Tips and Future Challenges 喜欢 0 阅读量: 20 作者:I Fister,S Rauter,I Fister 摘要: The aim of this paper is to briefly present the fu 关键词: Computational Intelligence Data Mining Dataset Sport Training 被引量:...
Cancel Create saved search Sign in Sign up Reseting focus {{ message }} isaaccorley / torchrs Public Notifications You must be signed in to change notification settings Fork 50 Star 375 PyTorch implementation of popular datasets and models in remote sensing License MIT license ...
"DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations." ACM MMSport Workshop (2022) LaST LaST is a large-scale dataset with more than 228k pedestrian images. It is used to study the scenario that pedestrians have a large activity scope and time ...
#TrainingSentences_Section1 - you can include sentences without a class reference - what {@pet} do you have - I like eating {@food} and playing {@sports} - my {@pet} likes {@food} #TrainingSentences_Section2 - you can include more sentences without a class reference - or more ...
Kaggle is pretty important in the data-science community, providing a way to test and prove your skills — your Kaggle competition performance sometimes comes up in job interviews for AI/ML positions. After these competitions, the datasets are made available for use. As of the writing this arti...
Moreover we rigorously identify the three most popular fairness datasets, namely Adult, COMPAS, and German Credit, for which we compile in-depth documentation. This unifying documentation effort supports multiple contributions. Firstly, we summarize the merits and limitations of Adult, COMPAS, and ...
We studied whether participation in sports activity and being physically active are different between 10-year generations over a part of their life course. We used three different datasets on Dutch adults: a cohort study running for 20 years, the Doetinchem Cohort Study (DCS), multiple yearly ...
Hence, ensuring proper, correct, robust, and trustworthy benchmarking is of utmost importance for the further development of the field. We believe that this can be achieved by adhering to the recently emerged data management standards, such as the FAIR (Findable, Accessible, Interoperable, and ...
Sports TimeSeries Transportation eSports Complementary Collections Agriculture The global dataset of historical yields for major crops 1981–2016 - The [...] Hyperspectral benchmark dataset on soil moisture - This dataset was [...] Lemons quality control dataset - Lemon dataset has been prepared to...
It covers both narrated and spontaneous speech over a variety of topics, such as arts, science and sports. It contains training splits varying from 10 hours - 10,000 hours and standardised validation and test splits. gigaspeech = load_dataset("speechcolab/gigaspeech", "xs", use_...