Research output per year
Research output per year
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.
| Date made available | 25-Feb-2019 |
|---|---|
| Publisher | University of Groningen |
| Date of data production | 18-Sep-2015 - 11-Mar-2017 |
Keywords on Datasets
- Video frames
- Unmanned aerial vehicle
- Data Augmentation
- ROT-DA
- ROT-DA-NR
- Artificial Intelligence
Research output
- 1 Thesis fully internal (DIV)
-
Deep learning for animal recognition
Okafor, E., 2019, [Groningen]: University of Groningen. 155 p.Research output: Thesis › Thesis fully internal (DIV)
Open AccessFile