REMODEL. WP4. Vision Based Perception. T4_4. Functional component detection. LOOP Experimental Dataset. v0

De Gregorio, Daniele ; Zanella, Riccardo ; Palli, Gianluca ; Di Stefano, Luigi (2020) REMODEL. WP4. Vision Based Perception. T4_4. Functional component detection. LOOP Experimental Dataset. v0. University of Bologna. DOI 10.6092/unibo/amsacta/6688. [Dataset]
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Abstract

This dataset contains experimental data related to robotic grasping applications, produced in the framework of REMODEL project. Specifically, it contains the collection of 15 tabletop scenes, with 12 randomly arranged objects, featuring different backgrounds: 3 scenes with homogeneous background; 3 scenes with wood; 3 scenes with black background; and 5 scenes with a high-clutter background (several prints of Pollock’s painting). The data are presented in the publication: De Gregorio, D., Zanella, R., Palli, G., & Di Stefano, L. (2020). Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings. (in press).

Abstract
Document type
Dataset
Creators
CreatorsAffiliationORCID
De Gregorio, DanieleEyecan.ai Srl
Zanella, RiccardoUniversity of Bologna
Palli, GianlucaUniversity of Bologna
Di Stefano, LuigiUniversity of Bologna
Keywords
object detection, labeling process, deep learning, robotic grasp, robot vision
Subjects
DOI
Contributors
NameAffiliationORCIDType
Zanella, RiccardoUniversity of BolognaContact person
Deposit date
04 May 2021 13:31
Last modified
04 May 2021 13:59
Project name
REMODEL - Robotic tEchnologies for the Manipulation of cOmplex DeformablE Linear objects
Funding program
EC - H2020
URI

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