DIODE: A Dense Indoor and Outdoor DEpth Dataset
Igor Vasiljevic, Nick Kolkin, Shanyi Zhang, Ruotian Luo, Haochen Wang,, Falcon Z. Dai, Andrea F. Daniele, Mohammadreza Mostajabi, Steven Basart,, Matthew R. Walter, Gregory Shakhnarovich
TL;DR
DIODE is a comprehensive dataset of high-resolution RGBD images capturing both indoor and outdoor scenes with accurate depth, designed to facilitate cross-domain depth perception research.
Contribution
It introduces the first public dataset combining indoor and outdoor RGBD images from a single sensor suite, enabling better generalization across scene types.
Findings
First dataset to include both indoor and outdoor scenes with dense depth
High-resolution images with accurate, long-range depth measurements
Facilitates research on cross-domain depth perception
Abstract
We introduce DIODE, a dataset that contains thousands of diverse high resolution color images with accurate, dense, long-range depth measurements. DIODE (Dense Indoor/Outdoor DEpth) is the first public dataset to include RGBD images of indoor and outdoor scenes obtained with one sensor suite. This is in contrast to existing datasets that focus on just one domain/scene type and employ different sensors, making generalization across domains difficult. The dataset is available for download at http://diode-dataset.org
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Taxonomy
TopicsAdvanced Vision and Imaging · Image Enhancement Techniques · Advanced Image and Video Retrieval Techniques