In this challenge, we provide a dataset of images for rice plants taken in Egypt where a single sample consists of a pair of Red-Green-Blue (RGB) and Red-Green-NearInfrared (RGNIR) images. RGB images are captured using a mobile phone camera and we used MAPIR Survey3N Camera to capture the multispectral (Red-Green-NearInfrared) images. We registered RGB images to RGNIR images since the two cameras have different field-of-view parameters. The provided data contains only the registered images.
The covered classes are Brown Spot disease, Blast disease and healthy.
There are 2 pictures for each image due to a normal camera and the MAPIR Survey3N. You can choose to work only with the normal RGB images or only with the RG-NIR images or both, however you only need to make submissions for one. Please read in the SampleSubmission in when inferring.
This is the dataset that you will use to test your model.
this folder contains all the images needed for this challenge.
shows the submission format for this competition, with the ‘ID’ column mirroring that of Test.csv. The order of the rows does not matter, but the names of the ‘ID’ must be correct.
This is the dataset that you will use to train your model.