تقرير
The AVA-Kinetics Localized Human Actions Video Dataset
| العنوان: | The AVA-Kinetics Localized Human Actions Video Dataset |
|---|---|
| المؤلفون: | Li, Ang, Thotakuri, Meghana, Ross, David A., Carreira, João, Vostrikov, Alexander, Zisserman, Andrew |
| سنة النشر: | 2020 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computer Vision and Pattern Recognition, Computer Science - Machine Learning, Electrical Engineering and Systems Science - Image and Video Processing |
| الوصف: | This paper describes the AVA-Kinetics localized human actions video dataset. The dataset is collected by annotating videos from the Kinetics-700 dataset using the AVA annotation protocol, and extending the original AVA dataset with these new AVA annotated Kinetics clips. The dataset contains over 230k clips annotated with the 80 AVA action classes for each of the humans in key-frames. We describe the annotation process and provide statistics about the new dataset. We also include a baseline evaluation using the Video Action Transformer Network on the AVA-Kinetics dataset, demonstrating improved performance for action classification on the AVA test set. The dataset can be downloaded from https://research.google.com/avaTest/ Comment: 8 pages, 8 figures |
| نوع الوثيقة: | Working Paper |
| الوصول الحر: | http://arxiv.org/abs/2005.00214Test |
| رقم الانضمام: | edsarx.2005.00214 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |