Dataset for "Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network", NeurIPS, 2019
Abstract/Contents
- Abstract
- This dataset comprises cropped video frames of flags and a tree canopy with corresponding 1-minute average wind speed measurements. The data are organized as outlined in: "Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network", Cardona JL, Howland MF, and Dabiri JO, Advances in Neural Information Processing Systems, 2019.
Description
| Type of resource | software, multimedia |
|---|---|
| Date created | 2018 |
Creators/Contributors
| Author | Cardona, Jennifer L |
|---|---|
| Author | Howland, Michael F |
| Author | Dabiri, John O |
Subjects
| Subject | Stanford School of Engineering |
|---|---|
| Genre | Dataset |
Bibliographic information
| Related Publication | Cardona, Jennifer L, and Howland, Michael F, and Dabiri, John O. (2019). "Seeing the Wind: Visual Wind Speed Prediction with a Coupled Convolutional and Recurrent Neural Network." Advances in Neural Information Processing Systems. https://arxiv.org/abs/1905.13290 |
|---|---|
| Location | https://purl.stanford.edu/ph326kh0190 |
Access conditions
- Use and reproduction
- User agrees that, where applicable, content will not be used to identify or to otherwise infringe the privacy or confidentiality rights of individuals. Content distributed via the Stanford Digital Repository may be subject to additional license and use restrictions applied by the depositor.
Collection
Stanford Research Data
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- Contact
- jcard27@stanford.edu
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