CHAS - Cultural Heritage Architectural Segmentation dataset

<p>CHAS is a point cloud dataset from cultural heritage aimed to provide data for semantic segmentation techniques. The data in this repository were generated by terrestrial laser scanning and pictures from aerial survey using UAV. This dataset comprises relevant buildings representing religious and colonial Brazilian architecture. We hope to allow future research in point cloud segmentation and automatic Building Information Modeling.</p> <p>We use the .7z file format to compact the clouds, providing high compression ratio. File names with &quot;raw&quot;&nbsp;suffix refers to RGB registered cloud. The &quot;gt&quot;&nbsp;suffix stands for ground truth clouds.</p> <p>&nbsp;</p> <p><strong>Raw point cloud description</strong></p> <p>Name&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Architectural Style&nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp;Construction Year&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp; &nbsp;TLS&nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp;UAV&nbsp; &nbsp; &nbsp;&nbsp;&nbsp; &nbsp;Points*&nbsp; &nbsp; &nbsp; ID</p> <p>Good Death&#39;s Church&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Neoclassical&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;1867&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Yes&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;Yes&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 210&nbsp; &nbsp; &nbsp; <em>boa_morte</em><br> Central Mill&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Industrial&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;1881&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Yes&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Yes&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;26&nbsp; &nbsp; &nbsp; &nbsp; <em>engenho</em><br> Ball&nbsp;House&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;Modern&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;1940&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Yes&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;No&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 370&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;&nbsp;<em>baile</em><br> Quilombo Farm&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Colonial&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;1891&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Yes&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Yes&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;55&nbsp; &nbsp; &nbsp; &nbsp; <em>quilombo</em>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;St. Francis of Assisi Church&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Modern&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1943&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Yes &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Yes&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;46&nbsp;&nbsp;&nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<em>curia</em></p> <p>* millions&nbsp;</p> <p>&nbsp;</p> <p><strong>Equipment</strong></p> <ul> <li>FARO Focus3D X 330 HDR*</li> <li>DJI Inspire 2 with Gimbal DJI Zenmuse X4S&nbsp;4K | H264 | F2.8 - F11 | 20MP**</li> <li>DJI Spark 12 MP Full HD GPS **</li> </ul> <p><em>*Terrestrial&nbsp;Laser Scanner (TLS)</em></p> <p><em>**Unmanned Aerial Vehicle (UAV)</em></p> <p>&nbsp;</p> <p><strong>Software</strong></p> <p>The following third-party software have been used to register the clouds.: FARO SCENE, CloudCompare and Pix4D Mapper. For a better understanding of the hybrid point cloud registration approach used in this dataset we recommend the following article:&nbsp;<a href="http://papers.cumincad.org/cgi-bin/works/paper/ecaade2018_295">BIM for Heritage Documentation An ontology-based approach</a>.</p> <p>&nbsp;</p> <p><strong>Ground-truth</strong></p> <p>Ground-Truth in this dataset was manually created with the Interactive Segmentation Tool on CloudCompare. Distinct colors represent different architectural elements. An &ldquo;optimal&rdquo; segmentation algorithm must partition the raw point clouds into equivalent single-color ground-truth clusters. &nbsp;&nbsp;&nbsp;</p> <p>&nbsp;</p> <p><strong>How to cite this dataset?</strong></p> <p>Paiva, P. V. V., Cogima, C. K., Dezen-Kempter, E. and Carvalho, M. A. G.&nbsp;&quot;Historical building point cloud segmentation combining hierarchical watershed transform and curvature analysis.&quot;&nbsp;<em>Pattern Recognition Letters</em>&nbsp;135 (2020): 114-121. DOI:&nbsp;<a href="https://doi.org/10.1016/j.patrec.2020.04.010">https://doi.org/10.1016/j.patrec.2020.04.010</a></p> <p>Paiva, P. V. V., Cogima, C. K., Dezen-Kempter, E. and Carvalho, M. A. G.&nbsp;&quot;<em>CHAS - Cultural Heritage Architectural Segmentation dataset</em>&quot;. Zenodo, March 26 2019. DOI:&nbsp;<a href="https://doi.org/10.5281/zenodo.2609498">https://doi.org/10.5281/zenodo.2609498</a></p> <p>&nbsp;</p>