This repository contains the code, paper, and poster for our solution to the Herbarium 2022 - FGVC9 competition. The competition involves identifying plant species through herbarium sheets. Our paper provides a detailed explanation of the solution adopted, along with a study of the machine learning field that comprises it.
Plants are of fundamental importance to life on Earth. With the threat of climate change advancing, new ideas are needed to combat it. This is where this paper comes in, a solution to the Herbarium 2022 - FGVC9 competition. It consists of identifying plant species through herbarium sheets. This paper details the solution adopted, as well as a study of the machine learning field that comprises it.
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bit_train/bit_pytorch: The
bit_train
folder corresponds to thebit_pytorch
folder available on the BigTransfer GitHub repository. -
bit_hyperrule.py: This file corresponds to the
bit_hyperrule.py
file in the BigTransfer repository. It is related to the hyperparameter rules for BigTransfer adaptation. -
HerbariumTrainingScript.py: The
HerbariumTrainingScript.py
file contains all the training methods for the ResNets trained over the Herbarium dataset. -
statVisualization.ipynb: The
statVisualization.ipynb
file is a notebook for making graphs with the metrics of the models. -
badSamples.ipynb: The
badSamples.ipynb
notebook corresponds to code for analyzing the bad samples of the dataset. -
DataVisualization.ipynb: The
DataVisualization.ipynb
notebook contains methods for visualizing the data of the Herbarium 2022 competition.
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Paper - Herbarium.pdf: The
Paper - Herbarium.pdf
file contains the detailed write-up of our solution. You can access the paper in PDF format. -
The Herbarium 2022 - poster.pdf: The
The Herbarium 2022 - poster.pdf
file is the visual representation of our solution, as presented in the competition.