Data From: An App for Tree Trunk Diameter Estimation from Coarse Optical Depth Maps

<p><strong>Overview</strong></p> <p>This dataset contains RGB and depth images (raw images and text files) of tree trunks collected using Google ARCore. It has 378 samples from four countries, with DBH ranging from 4.8-155.3cm. We annotated aspects like trunk shapes, leaning, lighting conditions when captured, etc. The data was originally intended for evaluating our designed tree diameter measurement app (https://github.com/MingyueX/GreenLens).</p> <p><em>Note: treedata.zip is deprecated, please download treedata_version_2.zip instead.</em></p> <p><strong>Data introduction</strong></p> <ul> <li>treedata_version_2.zip contains two folders -&nbsp;<em>rgb </em>and <em>depthtxt </em>- representing raw RGB images and depth text files respectively.</li> <li>data_label.xlsx includes the labels and corresponding descriptions.</li> </ul> <p><strong>Usage Notes</strong></p> <p>The <em>rgb </em>folder contains jpg images with 480*360 resolution.</p> <p>The files with no extension in the <em>depthtxt</em> folder are stored in the format as x-coordinate of pixel, y-coordinate of pixel, depth measurement of pixel and confidence value.</p>