Dataset

Aerial UAV Dataset

Okafor, E. (Creator), Smit, R. (Creator), Schomaker, L. (Creator), Wiering, M. (Creator), University of Groningen, 25-Feb-2019

Dataset

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.
Date made available25-Feb-2019
PublisherUniversity of Groningen
Date of data production18-Sep-2015 - 11-Mar-2017
Access to the dataset Open
Contact researchdata@rug.nl

    Keywords on Datasets

  • Video frames, Unmanned aerial vehicle, Data Augmentation, ROT-DA, ROT-DA-NR, Artificial Intelligence
Related Publications
  1. Deep learning for animal recognition

    Okafor, E., 2019, [Groningen]: University of Groningen. 155 p.

    Research output: ThesisThesis fully internal (DIV)Academic

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ID: 76576941