Object Pose Estimation Using Implicit Representation for Transparent Objects This dataset aggregates high quality 3D mesh assets and rendered data for training and fine tuning pose estimation models. It unifies four significant datasets: ClearPose , DIMO , HouseCat6D , and TRansPose , all formatted for BOP (Benchmark for 6D Object Pose Estimation) evaluation. Visualization Below is a collage showing sample RGB inputs from the constituent datasets: Component Datasets This collection aggregates four datasets converted to the standard BOP format to facilitate comparative evaluation. 1. ClearPose Source : ClearPose Project ClearPose consists of 63 transparent or opaque household objects captured in various lighting conditions and occlusions (e.g., glass utensils on a tabletop). Note : This dataset includes the downsampled version (every 100th image from each scene) to account for the small pose differences between consecutive frames in continuous motion and to decrease inference time. 2. DIMO (Dataset of Industrial Metal Objects) Source : DIMO Project DIMO consists of six reflective metallic parts (colored, shiny, and matte finish) on a metallic surface. These objects exhibit a shiny a…
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