Description

A dataset acquired with 3 synchronized sensors (Primesense Carmine 1.09, Microsoft Kinect v2, Canon IXUS 950 IS), featuring: * 30 industry-relevant objects: no discriminative color, no texture, often similar in shape, some objects are parts of others. * Training images depicting individual objects against a black background. * Test images originating from 20 test scenes whose complexity varies from simple scenes with several isolated objects to very challenging ones with multiple object instances and a high amount of clutter and occlusion. * Two types of 3D models for each object: a manually created CAD model and a semi-automatically reconstructed one. * Accurate 3D pose for all object instances and images. Reference: T. Hoda, P. Haluza, . Obdrlek, J. Matas, M. Lourakis, X. Zabulis, T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-less Objects, IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 880-888, 2017, Santa Rosa, USA

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