32 citations · 43 across the 5 of their papers we have counts for
5 papers
Investigating classification learning curves for automatically generated and labelled plant images
Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry +1
In the context of supervised machine learning a learning curve describes how a model's performance on unseen data relates to the amount of samples used to train the model. In this…
The TerraByte Client: providing access to terabytes of plant data
Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry +1
In this paper we demonstrate the TerraByte Client, a software to download user-defined plant datasets from a data portal hosted at Compute Canada. To that end the client offers two…
Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture
Michael A. Beck, Chen-Yi Liu, Christopher P. Bidinosti +3
We present two large datasets of labelled plant-images that are suited towards the training of machine learning and computer vision models. The first dataset encompasses as the day…
An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture
Michael A. Beck, Chen-Yi Liu, Christopher P. Bidinosti +3
A lack of sufficient training data, both in terms of variety and quantity, is often the bottleneck in the development of machine learning (ML) applications in any domain. For agric…
Visible Light Communications Based Indoor Positioning via Compressed Sensing
Kristina Gligoric, Manisha Ajmani, Dejan Vukobratovic +1
This paper presents an approach for visible light communication-based indoor positioning using compressed sensing. We consider a large number of light emitting diodes (LEDs) simult…