Primary competition visual

Combating Crop Pests with AI: MMU |x| MUST Hackathon

Helping Kenya
Zindi Merch
Completed (10 months ago)
Computer Vision
Classification
40 joined
15 active
Starti
May 23, 25
Closei
May 31, 25
Reveali
May 31, 25
About

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 2 699 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.

Files
Description
Files
This shows the submission format for this competition, with the ‘Image_id’ column mirroring that of Test.csv and the ‘Label’ column containing your predictions. The order of the rows does not matter, but the names of the ‘Image_id’ must be correct.
These are the IDs of the images you will use to test your model.
These are the IDs of the images you will use to train your model.
Images to use for training and testing.