ROADWork Data

<strong>images.zip</strong> -- contains all the ROADWork images that have been manually annotated <strong>sem_seg_labels.zip</strong> -- contains semantic segmentation labels for images in <strong>images.zip</strong> in the Cityscapes format. <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. <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. <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>. <strong>traj_annotations.zip </strong>-- contains pathway annotations corresponding to images in <strong>traj_images.zip</strong>. <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. <strong>traj_annotations_dense.zip </strong>-- contains pathway annotations corresponding to images in <strong>traj_images_dense.zip</strong> <strong>videos_compressed.zip </strong>-- contains video snippets from Robotics Open Dataset that we used to compute pathways using COLMAP. Repository contains all the data from <strong>ROAD</strong>Work Dataset. Please visit our project webpage for more information on the dataset: www.cs.cmu.edu/~ILIM/roadwork_dataset/ <br> <strong>Brief Description of Dataset Files</strong> <br> <strong>Usage</strong> Please go to our Github repository: https://github.com/anuragxel/roadwork-dataset/ <br> <br> <strong>License</strong> ROADWork dataset images collected by us and all the annotations are licensed under the Open Data Commons Attribution License v1.0. All images from Roadbotics Dataset are provided for ease of access, and they are licensed under the Open Data Commons Attribution License v1.0. Any other data from other datasets (e.g. data in discovered_images.zip) is distributed with its own licenses and terms. <em><strong>License of Discovered Images</strong></em> 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/<strong>images.zip</strong> —— 包含所有经过人工标注的ROADWork数据集图像。<br><strong>sem_seg_labels.zip</strong> —— 包含<strong>images.zip</strong>中图像的语义分割标注，采用Cityscapes格式。<br><strong>annotations.zip</strong> —— 包含<strong>images.zip</strong>中图像的实例分割、标识信息、场景描述及其他标注，采用类COCO（COCO-like）格式。该压缩包包含多种数据集划分方式，适配不同任务需求，详细信息请参见<strong>使用说明（Usage）</strong>。<br><strong>discovered_images.zip</strong> —— 包含从BDD100K与Mapillary数据集采集的道路施工场景图像（总计不足1000张）。本压缩包仅为方便获取而提供，这些外部数据集的具体授权信息详见下文。<br><strong>traj_images.zip</strong> —— 包含与路径相关的图像。这些图像经过人工筛选，均包含通过COLMAP获取的真实路径标注。其数据集划分方式详见<strong>使用说明（Usage）</strong>，以避免与在<strong>images.zip</strong>上训练的模型产生数据污染。<br><strong>traj_annotations.zip</strong> —— 包含与<strong>traj_images.zip</strong>中图像对应的路径标注。<br><strong>traj_images_dense.zip</strong> —— 包含带关联路径的高密度图像集。该数据集与<strong>traj_images.zip</strong>类似，未经过下采样处理。<br><strong>traj_annotations_dense.zip</strong> —— 包含与<strong>traj_images_dense.zip</strong>中图像对应的路径标注。<br><strong>videos_compressed.zip</strong> —— 包含来自机器人开放数据集的视频片段，我们曾使用这些片段通过COLMAP计算路径。<br><br>本仓库包含<strong>ROADWork</strong>数据集的全部数据。如需了解该数据集的更多信息，请访问我们的项目网页：www.cs.cmu.edu/~ILIM/roadwork_dataset/<br><br><strong>数据集文件简要说明（Brief Description of Dataset Files）</strong><br><strong>使用说明（Usage）</strong><br>请访问我们的GitHub仓库：https://github.com/anuragxel/roadwork-dataset/<br><br><strong>授权协议（License）</strong><br>本团队采集的ROADWork数据集图像及全部标注均采用开放数据通用署名许可协议v1.0（Open Data Commons Attribution License v1.0）进行授权。Roadbotics数据集的所有图像仅为方便获取而提供，同样采用Open Data Commons Attribution License v1.0进行授权。其他外部数据集的数据（如<strong>discovered_images.zip</strong>中的内容）将遵循其各自的授权协议与条款进行分发。<br><em><strong>外部图像授权说明（License of Discovered Images）</strong></em><br>本压缩包中mappilary/子目录下的图像为Mapillary Vistas数据集的少量样本，仅为方便使用而提供。这些图像采用CC BY-NC-SA许可协议及Mapillary使用条款进行授权。若您以任何形式使用此类图像，即表示您同意上述条款。如需了解Mapillary Vistas数据集的更多信息，请访问以下链接：<br>https://www.mapillary.com/dataset/vistas<br><br>本压缩包中bdd100k/子目录下的图像为BDD100K数据集的少量样本，仅为方便使用而提供。这些图像的授权遵循https://doc.bdd100k.com/license.html中的条款，该条款允许我们在署名的前提下分发此类图像。若您以任何形式使用此类图像，即表示您同意其授权协议。如需了解BDD100K数据集的更多信息，请访问以下链接：<br>http://bdd-data.berkeley.edu/