Onderzoeksoutput per jaar
Onderzoeksoutput per jaar
Description
The Aerial UAV dataset available from this page consists of video frames collection of the existence of cow in the agricultural fields. We considered
three forms of this dataset; original (ORIG), rotational-matrix data-augmentation (ROT-DA), and non-rotational matrix data-augmentation (ROT-DA-NR).
Deep learning techniques and classical computer-vision methods combined with machine learning algorithms were used to carry out binary recognition tasks on the several variants of this dataset.
three forms of this dataset; original (ORIG), rotational-matrix data-augmentation (ROT-DA), and non-rotational matrix data-augmentation (ROT-DA-NR).
Deep learning techniques and classical computer-vision methods combined with machine learning algorithms were used to carry out binary recognition tasks on the several variants of this dataset.
| Datum van beschikbaarheid | 25-feb.-2019 |
|---|---|
| Uitgever | University of Groningen |
| Datum van data-aanmaak | 18-sep.-2015 - 11-mrt.-2017 |
Onderzoekersoutput
- 1 Thesis fully internal (DIV)
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Deep learning for animal recognition
Okafor, E., 2019, [Groningen]: University of Groningen. 155 blz.Onderzoeksoutput
Open AccessBestand
Datasets
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Badger Dataset
Okafor, E. (Creator), Berendsen, G. (Creator), Schomaker, L. (Creator) & Wiering, M. (Creator), University of Groningen, 25-feb.-2019
Dataset