Borda / kaggle_cassava-leaf-disease

Identify the type of disease present on a Cassava Leaf image

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Kaggle: Cassava Leaf Disease Classification

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The task is to classify each cassava image into five categories indicating - plant with a certain kind of disease or healthy leaf.

Organizers introduced a dataset of 21,367 labeled images collected during a regular survey in Uganda. Most images were crowd-sourced from farmers taking photos of their gardens, and annotated by experts at the National Crops Resources Research Institute (NaCRRI) in collaboration with the AI lab at Makerere University, Kampala.

Sample images

It seems that there are already a few submissions/notebooks with PL.


install this tooling

A simple way how to use this basic functions:

! pip install

run notebooks in Colab

I would recommend uploading the dataset to you personal gDrive and then in notebooks connect the gDrive which saves you lost of time with re-uploading dataset when ever your Colab is reset... :]

some results

Training progress with ResNet50 with training for 10 epochs:

Training process

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Identify the type of disease present on a Cassava Leaf image

License:MIT License


Language:Jupyter Notebook 99.3%Language:Python 0.7%