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GitHub - SilvioGiancola/SoccerNet-code: SoccerNet: A Scalable ...

@InProceedings {Giancola_2018_CVPR_Workshops, author = {Giancola, Silvio and Amine, Mohieddine and Dghaily, Tarek and Ghanem, Bernard}, title = {SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos}, booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops}, month = {June}, year = {2018}}

GitHub - SilvioGiancola/SoccerNetv2-DevKit: Development Kit ...

Welcome to the SoccerNet-V2 Development Kit for the SoccerNet Benchmark and Challenge. This kit is meant as a help to get started working with the soccernet data and the proposed tasks. More information about the dataset can be found on our official website. SoccerNet-v2 is an extension of SoccerNet-v1 with new and challenging tasks including ...

SoccerNet - silviogiancola.github.io

SoccerNet is a scalable dataset for action spotting in soccer videos. It is composed of 500 complete soccer games from six main European leagues, covering three seasons from 2014 to 2017 and a total duration of 764 hours.

SoccerNetv2-DevKit/README.md at main - github.com

@InProceedings {Deliège2020SoccerNetv2, title = {SoccerNet-v2 : A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos}, author = {Adrien Deliège and Anthony Cioppa and Silvio Giancola and Meisam J. Seikavandi and Jacob V. Dueholm and Kamal Nasrollahi and Bernard Ghanem and Thomas B. Moeslund and Marc Van Droogenbroeck}, year = {2021}, booktitle = {The IEEE Conference ...

SoccerNet-code/FeatureExtractorC3D.py at master ... - github.com

SoccerNet-code / src / feature_extraction / FeatureExtractorC3D.py / Jump to Code definitions FeatureExtractorC3D Class __init__ Function elaborateVideo Function C3D_model Function

GitHub - cioppaanthony/context-aware-loss: A Context-Aware ...

Option 1: If you wish to install the entire SoccerNet dataset, please follow the instructions on the author's github: SoccerNet GitHub. In the following command lines, the -d path/to/soccernet/data/ will then need to be the data folder of that SoccerNet dataset.

SoccerNet-v2

SoccerNet-v2 is a large-scale dataset build upon SoccerNet that benchmarks the tasks action spotting, camera shot understanding and replay grounding. SoccerNet-v2 is composed of 300k manual annotations, span 500 complete soccer games from six main European leagues, covering three seasons from 2014 to 2017 and a total duration of 764 hours.

SoccerNet-v2 Dataset | Papers With Code

SoccerNet-v2. A novel large-scale corpus of manual annotations for the SoccerNet video dataset, along with open challenges to encourage more research in soccer understanding and broadcast production. Source: SoccerNet-v2 : A Dataset and Benchmarks for Holistic Understanding of Broadcast Soccer Videos.

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