Dreamnet

CS230 Project: In this project, we investigate and evaluate the performance of the state-of-the-art model for instance segmentation, Mask R-CNN, on the newly-released Mapillary dataset, whose images focus specifically on driving scenes. We transfer the learning results from the pre-trained weights, fine tune the final layers for Mapillary Datasets. The result shows a significant improvement in precision measurements from the baseline, and achieves at a surpassing performance than benchmarks.