Výsledky vyhledávání - "Ajmani, Manisha"

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Investigating classification learning curves for automatically generated and labelled plant images

Autor: Beck, Michael A., Bidinosti, Christopher P., Henry, Christopher J., Ajmani, Manisha

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 paper we present a dataset of plant images with representatives of cro

Externí odkaz: http://arxiv.org/abs/2205.10955

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The TerraByte Client: providing access to terabytes of plant data

Autor: Beck, Michael A., Bidinosti, Christopher P., Henry, Christopher J., Ajmani, Manisha

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 key functionalities: (1) It allows the user to get an overview on wha

Externí odkaz: http://arxiv.org/abs/2203.13691

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Presenting an extensive lab- and field-image dataset of crops and weeds for computer vision tasks in agriculture

Autor: Beck, Michael A., Liu, Chen-Yi, Bidinosti, Christopher P., Henry, Christopher J., Godee, Cara M., Ajmani, Manisha

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 of writing over 1.2 million images of indoor-grown crops and weeds co

Externí odkaz: http://arxiv.org/abs/2108.05789

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An embedded system for the automated generation of labeled plant images to enable machine learning applications in agriculture

Autor: Beck, Michael A., Liu, Chen-Yi, Bidinosti, Christopher P., Henry, Christopher J., Godee, Cara M., Ajmani, Manisha

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 agricultural applications, ML-based models designed to perform tasks such a

Externí odkaz: http://arxiv.org/abs/2006.01228

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Visible Light Communications Based Indoor Positioning via Compressed Sensing

Autor: Gligoric, Kristina, Ajmani, Manisha, Vukobratovic, Dejan, Sinanovic, Sinan

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) simultaneously transmitting their positional information and a user device e

Externí odkaz: http://arxiv.org/abs/1805.01001

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