Can you solve this challenge?
We provide a dataset, containing top view images of tomato seedlings, from WUR (Wageningen University & Research).
We predict the seedling quality when the tomato plant is ten days old to determine if the plant is going to be of good quality (normal) later on or not (abnormal). At the moment seedling quality is classified by human observers. WUR and private partners have developed the MARVIN 3D to enable automatic rule-based seedling classification based on images and a 3D-representation
The challenge?
Improving automatic seedling quality classification using machine learning.
Fill out the form on the right to download your challenge & data set.