The dataset was created with the help of more than 1,300 unique crowd actors.

Developers like you have successfully created classification models based on the training set and found that they perform well on the validation set. Running their models on the test set, they can achieve scores of up to 91 percent.

The video data is provided as one large TGZ archive, split into parts of 1 GB maximum. The total download size is 19.4 GB. The archive contains webm-files, using the VP9 codec, with a height of 240px. Files are numbered from 1 to 220847.

For each video in the training and validation sets there is an object annotation in addition to the video label, if applicable. For example, for a label like "Putting [something] onto [something]," there is also an annotated version, such as "Putting a cup onto a table." In total, there are 318,572 annotations involving 30,408 unique objects.

To reduce label noise, five different crowd actors have verified that the action shown in each video matches the description given. The dataset contains only those videos in which all five crowd actors confirmed the match.

The Something-Something dataset is available for research purposes.

Data License Agreement - Research Use

“The ‘something something’ video database for learning and evaluating visual common sense,” Goyal, R. et al., arXiv.org, June 15, 2017.

“On the effectiveness of task granularity for transfer learning,” Mahdisoltani, F. et al, arXiv.org, November 29, 2018

AI is shifting from simply seeing what is happening in front of the camera to understanding it. Data is the effective force behind these deep learning breakthroughs and is integral to the human-level performance of neural networks. Our crowd-acting approach to data collection overcomes the typical limitations of crowdsourcing, resulting in high-quality video data that is densely captioned, human-centric and diverse.

Qualcomm AI Research continues to invest in and support deep-learning research in computer vision. The publication of the Jester dataset for use by the AI research community is one of our many initiatives.


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Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc.