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🌱mobile application to classify seedlings 🌱
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Apps
MNIST
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BaseLine.ipynb
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Pruning.py
README.md
StarterCode.py
TuningHyperParams.xls
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VGG_baseline.ipynb
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VGG_pretrained.py
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VGG_transfer_learning.ipynb
create_balanced.ipynb
create_balanced.py
resAcc.png
resNoTransferAcc.png
resNpoTransferLoss.png
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resPreLoss.png
resTransferAcc.png
resTransferLoss.png
resnet_200.pt
test1_indices.pickle
test2_indices.pickle
test3_indices.pickle
test4_indices.pickle
test_indices.pickle
train1_indices.pickle
train2_indices.pickle
train3_indices.pickle
train4_indices.pickle
train_indices.pickle

README.md

Seedling Classification

Creating a mobile application to classify maize seedlings and 11 different types of weed seedlings that are usually found growing in maize plots.

Team Members: Katie Yang, Cora Wu, Jenna Kressin, Joe Campbell, Brandon Kates

Our project will include:

  • Classification Model
    • Implementing CNN based classification model to infer seedling species
  • Pruning Stage
    • Analyzing the efficiency of implemented models
    • Reducing computations necessary for classification
  • Mobile Application
    • Build mobile application that supports trained model
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