Leaf counting dataset
Teimouri, Nima and Dyrmann, Mads and Nielsen, Per Rydahl and Mathiassen, Solvejg Kopp and Somerville, Gayle J. and Jørgensen, Rasmus Nyholm

@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superseded= {},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/}
}