Labelling Images 2

BILBERRY ACTIVITY Bilberry is an innovative startup, with the ambition to cut by 80% the amount of herbicide used in the world. Our products, 3 times patented, are based on the latest computer vision and artificial intelligence technologies and on embedded systems we develop. In large crops or on railways, weeds are scattered through the surface: however, herbicides are sprayed on the whole area. This generates health risks for the farmers and the end consumers, has huge costs for the farmers and harms the environment. In order to reduce the amount of herbicide sprayed, we have developed cameras that are embedded on the field sprayers and which scan the field, identify weeds and automatically control the spraying, everything in real time. Thus, herbicides are only sprayed where it’s needed. JOB DESCRIPTION We are developing computer vision algorithms so that our cameras can recognize what is a weed and what is the crop. In order to do that, we need to manually label images and what is on these images. This is the work we would like you to do. You will work directly on Bilberry web platform, and thus you need a high speed internet connection to download images quickly. You will have to label an undetermined number of images for this job. It is not limited in time, you can work on it on a full-time base. You will be paid on an hourly-basis so please indicate your hourly rate. Further details can be given once a Non Disclosure Agreement is signed.