Water Bottle River Video for Computer Vision and Detection
| Authors: | |
|---|---|
| Owners: | Jason Hamilton Davison |
| Type: | Resource |
| Storage: | The size of this resource is 526.2 MB |
| Created: | Oct 18, 2024 at 4:28 p.m. |
| Last updated: | Oct 21, 2024 at 2:42 p.m. (Metadata update) |
| Published date: | Oct 21, 2024 at 2:42 p.m. |
| DOI: | 10.4211/hs.4c6424e5569a4ff89841a7b5b47d31bd |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
|---|---|
| Views: | 431 |
| Downloads: | 9 |
| +1 Votes: | Be the first one to this. |
| Comments: | No comments (yet) |
Abstract
This dataset contains a total of 12 videos. Six are raw input videos intended for testing, and the other six are output generated by the botell.ai model. The videos capture various perspectives, including drone footage, views from a pedestrian bridge, a weir, and side views. All files are in mp4 format. The computer vision program is located on github at the following link: https://github.com/AnthroHydro/botell.ai
Subject Keywords
Coverage
Spatial
Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Sligo Creek, Maryland
Longitude
-77.0299°
Latitude
39.0256°
Leaflet Map data © OpenStreetMap contributors
Content
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How to Cite
Davison, J. H., J. A. H. Molina, M. Lenczewski, G. Acosta-González, A. B. Heller, A. R. Johnson (2024). Water Bottle River Video for Computer Vision and Detection, HydroShare, https://doi.org/10.4211/hs.4c6424e5569a4ff89841a7b5b47d31bd
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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