ROADWork Data

<div> <strong>Brief Description of Dataset Files</strong> </div> <p><br></p> <ul> <li><strong>images.zip</strong> -- contains all the ROADWork images that have been manually annotated </li><li><strong>sem_seg_labels.zip</strong> -- contains semantic segmentation labels for images in <strong>images.zip</strong> in the Cityscapes format. </li><li><strong>annotations.zip</strong> -- contains instance segmentations, sign information, scene descriptions and other labels for images in <strong>images.zip</strong> in a COCO-like format. It contains multiple splits, suited for different tasks. Please see <strong>Usage</strong> for more information. </li><li><strong>discovered_images.zip</strong>-- contains discovered images with roadwork scenes from BDD100K and Mapillary dataset (less than 1000 images in total). These images are provided for ease of access ONLY. See below for specific license information for these external datasets. </li><li><strong>traj_images.zip </strong>-- contains images associated with pathways. These images were manually filtered to contain ground truth pathways obtained from COLMAP. The split is described in Usage, to avoid data contamination from models trained on <strong>images.zip</strong>. </li><li><strong>traj_annotations.zip </strong>-- contains pathway annotations corresponding to images in <strong>traj_images.zip</strong>. </li><li><strong>traj_images_dense.zip </strong>-- contains the dense set of images with associated pathways. These are similar to <strong>traj_images.zip</strong>, they are not subsampled. </li><li><strong>traj_annotations_dense.zip </strong>-- contains pathway annotations corresponding to images in <strong>traj_images_dense.zip</strong> </li> <li><strong>videos_compressed.zip </strong>-- contains video snippets from Robotics Open Dataset that we used to compute pathways using COLMAP.</li> </ul> <div>Repository contains all the data from <strong>ROAD</strong>Work Dataset. Please visit our project webpage for more information on the dataset: <a href="https://www.cs.cmu.edu/~ILIM/roadwork_dataset/" target="_blank">www.cs.cmu.edu/~ILIM/roadwork_dataset/</a></div> <h3><strong>Usage</strong></h3> <div>Please go to our Github repository:</div> <p><a href="https://github.com/anuragxel/roadwork-dataset/" target="_blank">https://github.com/anuragxel/roadwork-dataset/</a></p> <p><br></p> <p><br></p> <div><strong>License</strong></div> <p>ROADWork dataset images collected by us and all the annotations are licensed under the <a href="https://opendatacommons.org/licenses/by/1-0/" target="_blank">Open Data Commons Attribution License v1.0</a>. All images from Roadbotics Dataset are provided for ease of access, and they are licensed under the <a href="https://opendatacommons.org/licenses/by/1-0/" target="_blank">Open Data Commons Attribution License v1.0</a>. Any other data from other datasets (e.g. data in discovered_images.zip) is distributed with its own licenses and terms.</p> <div><em><strong>License of Discovered Images</strong></em></div> <p>A small sample of Mappilary Vistas dataset images (in mappilary/ subdirectory in discovered_images.zip) are provided for ease of use. These images are licensed under the CC BY-NC-SA license and Mappilary Terms of Use. You agree to these terms if you use these images in any form. Please visit the following link for more information about the Mappilary Vistas dataset:<br> https://www.mapillary.com/dataset/vistas<br> <br> A small sample of BDD100K dataset images (in bdd100k/ subdirectory in discovered_images.zip) are provided for ease of use. These images are licensed according to (https://doc.bdd100k.com/license.html) which allows us to distibute these images with attribution. You agree to their license agreement if you use these images in any form. Please visit the following link for more information about the BDD100K dataset:<br> http://bdd-data.berkeley.edu/</p>