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leafcounting (2 files)
 files_v1.txt |
187.89kB |
| WeedCountImages_v1.zip |
925.21MB |
Type: Dataset
Tags:
Bibtex:
Tags:
Abstract:
## Leaf counting dataset
Dataset containing 9372 RGB images of weeds with the number of leaves counted.
The images are collected in fields across Denmark using Nokia and Samsung
cell phone cameras; Samsung, Nikon, Canon and Sony consumer cameras; and a Point Grey
industrial camera.
https://i.imgur.com/h7JFf86.jpg
## Citation
If you use this dataset in your research or elsewhere, please cite/reference the following paper:
PAPER: Weed Growth Stage Estimator Using Deep Convolutional Neural Networks
Bibtex
```
@Article{s18051580,
author = {Teimouri, Nima and Dyrmann, Mads and Nielsen, Per Rydahl and Mathiassen, Solvejg Kopp and Somerville, Gayle J. and Jørgensen, Rasmus Nyholm},
title = {Weed Growth Stage Estimator Using Deep Convolutional Neural Networks},
journal = {Sensors},
volume = {18},
year = {2018},
number = {5},
url = {http://www.mdpi.com/1424-8220/18/5/1580},
issn = {1424-8220}
}
```
URL: https://vision.eng.au.dk/leaf-counting-dataset/
License: https://creativecommons.org/licenses/by-sa/4.0/
Leaf counting dataset
Dataset containing 9372 RGB images of weeds with the number of leaves counted. The images are collected in fields across Denmark using Nokia and Samsung cell phone cameras; Samsung, Nikon, Canon and Sony consumer cameras; and a Point Grey industrial camera.
Citation
If you use this dataset in your research or elsewhere, please cite/reference the following paper: PAPER: Weed Growth Stage Estimator Using Deep Convolutional Neural Networks
Bibtex
@Article{s18051580,
author = {Teimouri, Nima and Dyrmann, Mads and Nielsen, Per Rydahl and Mathiassen, Solvejg Kopp and Somerville, Gayle J. and Jørgensen, Rasmus Nyholm},
title = {Weed Growth Stage Estimator Using Deep Convolutional Neural Networks},
journal = {Sensors},
volume = {18},
year = {2018},
number = {5},
url = {http://www.mdpi.com/1424-8220/18/5/1580},
issn = {1424-8220}
}URL: https://vision.eng.au.dk/leaf-counting-dataset/
License: https://creativecommons.org/licenses/by-sa/4.0/
Bibtex:
@article{,
title= {Leaf counting dataset},
keywords= {},
author= {Teimouri, Nima and Dyrmann, Mads and Nielsen, Per Rydahl and Mathiassen, Solvejg Kopp and Somerville, Gayle J. and Jørgensen, Rasmus Nyholm},
abstract= {## Leaf counting dataset
Dataset containing 9372 RGB images of weeds with the number of leaves counted.
The images are collected in fields across Denmark using Nokia and Samsung
cell phone cameras; Samsung, Nikon, Canon and Sony consumer cameras; and a Point Grey
industrial camera.
https://i.imgur.com/h7JFf86.jpg
## Citation
If you use this dataset in your research or elsewhere, please cite/reference the following paper:
PAPER: Weed Growth Stage Estimator Using Deep Convolutional Neural Networks
Bibtex
```
@Article{s18051580,
author = {Teimouri, Nima and Dyrmann, Mads and Nielsen, Per Rydahl and Mathiassen, Solvejg Kopp and Somerville, Gayle J. and Jørgensen, Rasmus Nyholm},
title = {Weed Growth Stage Estimator Using Deep Convolutional Neural Networks},
journal = {Sensors},
volume = {18},
year = {2018},
number = {5},
url = {http://www.mdpi.com/1424-8220/18/5/1580},
issn = {1424-8220}
}
```},
terms= {},
license= {https://creativecommons.org/licenses/by-sa/4.0/},
superseded= {},
url= {https://vision.eng.au.dk/leaf-counting-dataset/}
}
