 Vejan is a new dataset containing over 3,700 RGB images of crops captured from various locations and platforms. The data was collected with the aim of improving the accuracy of segmentation algorithms used in the agricultural industry. By providing a wide range of images, Vejan will enable researchers to compare their results against those of other teams and to develop more accurate segmentation algorithms. This article was authored by Simon Maddeck, Cameron Irfan, Kavya Velimani, and others.