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SimulaMet-HOST/SoccerSum
SoccerSum is a machine learning model from SimulaMet-HOST. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Here, we store the necessary weights for various YOLO models used in the SoccerSum GUI pipeline.
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Updated Mar 25, 2024
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From the Hugging Face model README
Here, we store the necessary weights for various YOLO models used in the SoccerSum GUI pipeline.
Github repository: https://github.com/simula/soccersum
SoccerSum Dataset on Zenodo: https://zenodo.org/records/10612084
<pre><code> @incollection{Houshmand_MMSYS_ODS, author = {Houshmand Sarkhoosh, Mehdi and Midoglu, Cise and Shafiee Sabet, Saeed and Halvorsen, P{\aa}l}, title = {{The SoccerSum Dataset for Automated Detection, Segmentation, and Tracking of Objects on the Soccer Pitch}}, booktitle = {{MMSys'24 : The 15th ACM Multimedia Systems Conference}}, year = {2024}, month = apr, date = {2024-04-15}, urldate = {2024-04-15}, isbn = {979-8-4007-0412-3/24/04}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, doi = {10.1145/3625468.3652180} } </code></pre> <pre><code> @incollection{Houshmand_MMSYS_demo, author = {Houshmand Sarkhoosh, Mehdi and Midoglu, Cise and Shafiee Sabet, Saeed and Halvorsen, P{\aa}l}, title = {{Multimodal AI-Based Summarization and Storytelling for Soccer on Social Media}}, booktitle = {{MMSys'24 : The 15th ACM Multimedia Systems Conference}}, year = {2024}, month = apr, date = {2024-04-15}, urldate = {2024-04-15}, isbn = {979-8-4007-0412-3/24/04}, publisher = {Association for Computing Machinery}, address = {New York, NY, USA}, doi = {10.1145/3625468.3652197} } </code></pre>