Dandelion segmentation with background transfer learning and RGB-attention module

•Different datasets are utilized to learn segment complex background information.•A color attention module is designed to learn the weights of color channels for weed segmentation.•Experiments are designed to observe the effect of colors on the information learned by the model.•The necessity of training and resting the inputs of the same color has been validated for segmentation model.