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Something-Something V2 Dataset
- paperswithcode.com
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EmailClick to copy linkLink copiedCiteRaghav Goyal; Samira Ebrahimi Kahou; Vincent Michalski; Joanna Materzyńska; Susanne Westphal; Heuna Kim; Valentin Haenel; Ingo Fruend; Peter Yianilos; Moritz Mueller-Freitag; Florian Hoppe; Christian Thurau; Ingo Bax; Roland Memisevic, Something-Something V2 Dataset [Dataset]. https://paperswithcode.com/dataset/something-something-v2AuthorsRaghav Goyal; Samira Ebrahimi Kahou; Vincent Michalski; Joanna Materzyńska; Susanne Westphal; Heuna Kim; Valentin Haenel; Ingo Fruend; Peter Yianilos; Moritz Mueller-Freitag; Florian Hoppe; Christian Thurau; Ingo Bax; Roland MemisevicDescriptionThe 20BN-SOMETHING-SOMETHING V2 dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday objects. The dataset was created by a large number of crowd workers. It allows machine learning models to develop fine-grained understanding of basic actions that occur in the physical world. It contains 220,847 videos, with 168,913 in the training set, 24,777 in the validation set and 27,157 in the test set. There are 174 labels.
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Something-Something V1 Dataset
- paperswithcode.com
Updated Mar 28, 2023ShareFacebookTwitterEmailClick to copy linkLink copiedCiteRaghav Goyal; Samira Ebrahimi Kahou; Vincent Michalski; Joanna Materzyńska; Susanne Westphal; Heuna Kim; Valentin Haenel; Ingo Fruend; Peter Yianilos; Moritz Mueller-Freitag; Florian Hoppe; Christian Thurau; Ingo Bax; Roland Memisevic (2023). Something-Something V1 Dataset [Dataset]. https://paperswithcode.com/dataset/something-something-v1Dataset updatedMar 28, 2023AuthorsRaghav Goyal; Samira Ebrahimi Kahou; Vincent Michalski; Joanna Materzyńska; Susanne Westphal; Heuna Kim; Valentin Haenel; Ingo Fruend; Peter Yianilos; Moritz Mueller-Freitag; Florian Hoppe; Christian Thurau; Ingo Bax; Roland MemisevicDescriptionThe 20BN-SOMETHING-SOMETHING dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday objects. The dataset was created by a large number of crowd workers. It allows machine learning models to develop fine-grained understanding of basic actions that occur in the physical world. It contains 108,499 videos, with 86,017 in the training set, 11,522 in the validation set and 10,960 in the test set. There are 174 labels.
⚠️ Attention: This is the outdated V1 of the dataset. V2 is available here.
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FacebookTwitterEmailThe 20BN-SOMETHING-SOMETHING V2 dataset is a large collection of labeled video clips that show humans performing pre-defined basic actions with everyday objects. The dataset was created by a large number of crowd workers. It allows machine learning models to develop fine-grained understanding of basic actions that occur in the physical world. It contains 220,847 videos, with 168,913 in the training set, 24,777 in the validation set and 27,157 in the test set. There are 174 labels.
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