Apple orchard production estimation using deep learning strategies: a comparison of tracking-by-detection algorithms - CaseStudy

<p>The dataset &quot;Case Study&quot; consists of image sequences (videos) for apple detection and tracking and its corresponding ground truth. The ground truth is presented in MOT format. This dataset is part of the paper:</p> <p>Villacr&eacute;s, J., Viscaino, M., Delpiano, J., Vougioukas, S. &amp; Cheein, F. A. (2022). Apple orchard production estimation using deep learning strategies: a comparison of tracking-by-detection algorithms.&nbsp;<em>Computers and Electronics in Agriculture</em>.</p> <p>The article is currently accepted. For a better reference format, please refer to the journal&#39;s official website.</p> <p>If you have used the material presented in this data set, please cite the previous article.</p> <p>For more information regarding the dataset, please refer to the paper mentioned below.</p>