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
Tipologia del documento
Dataset
Autori
AutoreAffiliazioneORCID
De Gregorio, DanieleEyecan.ai Srl
Zanella, RiccardoUniversity of Bologna
Palli, GianlucaUniversity of Bologna
Di Stefano, LuigiUniversity of Bologna
Parole chiave
object detection, labeling process, deep learning, robotic grasp, robot vision
Settori scientifico-disciplinari
DOI
Contributors
Contributor
Affiliazione
Tipo
Zanella, Riccardo
University of Bologna
Contact person
Data di deposito
04 Mag 2021 13:31
Ultima modifica
19 Mag 2023 11:33
Nome del Progetto
REMODEL - Robotic tEchnologies for the Manipulation of cOmplex DeformablE Linear objects
Programma di finanziamento
EC - H2020
URI

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