데이터셋 탐색

The unsupervised Labeled Lane MArkerS dataset (LLAMAS) is a dataset for lane detection and segmentation. It contains over 100,000 annotated images, with annotations of over 100 meters at a resolution of 1276 x 717 pixels. The Unsupervised Llamas dataset was annotated by creating high definition maps for automated driving including lane markers based on Lidar. Paper: Unsupervised Labeled Lane Markers Using Maps Source: Unsupervised Llamas Lane Marker Dataset Image Source: Unsupervised Llamas Lane Marker Dataset