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Makerere Fall Armyworm Crop Challenge

Domain:

agriculture

Record type:

dataset

Can you determine if maize crops have been affected by the fall armyworm pest?
The dataset contains images of maize crop leaves collected by research scientists from the Makerere Artificial Intelligence Lab, the Marconi Machine Learning Lab, and the National Crops Research Institute in Uganda. It contains 2699 images equally distributed across the healthy and fall armyworm classes.
The dataset does not contain any other attributes associated with the images. Images have not been subjected to any form of preprocessing.
Resource restriction
To make this challenge accessible to all, there are restrictions on run time. You are allowed a maximum of 7 hours’ train time and 2 hours’ inference time on the whole test set, with a maximum 1 minute inference per image.
We encourage you to use Google Colab which allows you access to a NVIDIA Tesla K80. If you choose to use a different GPU, it may not exceed the specs of an NVIDIA Tesla K80.

Visit

zindi.africa

Tasks

computer visionimage classification

Tags

competitionzindiclassificationcomputer visionagriculture

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https://zindi.africa/competitions/makerere-fall-armyworm-crop-challenge # makerere-fall-armyworm-cr