Abstract: Memory-based trackers are video object segmentation methods that form the target model by concatenating recently tracked frames into a memory buffer and localize the target by attending the ...

This project demonstrates instance segmentation using Mask R-CNN with the OpenCV DNN module. The model is pre-trained on the COCO dataset and can detect and segment multiple object classes in images.

Abstract: Weeds are unwanted plants that grow on farms and compete with crops for nutrition and other growth factors. Weeds are everything other than the desired crop. This significantly reduced the ...