Microsoft Rice Disease Classification Challenge

Can you identify disease in images of rice grown in Egypt?
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.