no code implementations • 22 May 2022 • Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry, Manisha Ajmani
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.
no code implementations • 25 Mar 2022 • Michael A. Beck, Christopher P. Bidinosti, Christopher J. Henry, Manisha Ajmani
The user interface is built on top of a low-level client.
no code implementations • 12 Aug 2021 • Michael A. Beck, Chen-Yi Liu, Christopher P. Bidinosti, Christopher J. Henry, Cara M. Godee, Manisha Ajmani
These, in total 14, 000 images, had been selected, such that they form a representative sample with respect to plant age and ndividual plants per species.
1 code implementation • 1 Jun 2020 • Michael A. Beck, Chen-Yi Liu, Christopher P. Bidinosti, Christopher J. Henry, Cara M. Godee, Manisha Ajmani
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.