REMODEL. WP4. Vision Based Perception. T4_3. Cable Detection And Tracking. Electric Wires Dataset. Training and Test sets for Image Segmentation. v0

Zanella, Riccardo ; Caporali, Alessio ; Tadaka, Kalyan ; De Gregorio, Daniele ; Palli, Gianluca (2020) REMODEL. WP4. Vision Based Perception. T4_3. Cable Detection And Tracking. Electric Wires Dataset. Training and Test sets for Image Segmentation. v0. University of Bologna. DOI 10.6092/unibo/amsacta/6654. [Dataset]
Full text disponibile come:
[thumbnail of REMODEL. WP4. Vision Based Perception. T4_3. Cable Detection And Tracking. Electric Wires Dataset. Training and Test sets for Image Segmentation. v0] Archivio (REMODEL. WP4. Vision Based Perception. T4_3. Cable Detection And Tracking. Electric Wires Dataset. Training and Test sets for Image Segmentation. v0)
Licenza: Creative Commons: Attribuzione 4.0(CC BY 4.0)
Download (39GB)
[thumbnail of README]
Anteprima
 Documento di testo(pdf) (README)
Licenza: Creative Commons: Attribuzione 4.0(CC BY 4.0)
Download (170kB) | Anteprima

Abstract

The dataset contains data for semantic segmentation of electric wires with domain independence, generated in the framework of REMODEL project. The dataset is automatically generated using chroma-key technique and contains 57300 images (where 28650 are RGB images and the other 28650 are the corresponding ground truth binary masks).

Abstract
Tipologia del documento
Dataset
Autori
AutoreAffiliazioneORCID
Zanella, RiccardoUniversity of Bologna
Caporali, AlessioUniversity of Bologna
Tadaka, KalyanUniversity of Bologna
De Gregorio, DanieleEyecan.ai Srl
Palli, GianlucaUniversity of Bologna
Parole chiave
electric wires, image segmentation, domain randomization, labeling process
Settori scientifico-disciplinari
Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 Automatica
DOI
10.6092/unibo/amsacta/6654
Contributors
Contributor
Affiliazione
Tipo
Zanella, Riccardo
University of Bologna
Contact person
Data di deposito
27 Apr 2021 10:39
Ultima modifica
27 Apr 2021 15:14
Risorse collegate
Tipologia
Relazione
Identificativo
URL
è identico a
DOI
è un supplemento di
Nome del Progetto
REMODEL - Robotic tEchnologies for the Manipulation of cOmplex DeformablE Linear objects
Programma di finanziamento
EC - H2020
URI
https://amsacta.unibo.it/id/eprint/6654

Altri metadati

Statistica sui download

Statistica sui download

Vedi altre statistiche

Gestione del documento: Visualizza il documento

© ALMA MATER STUDIORUM - Università d Bologna, 2007-2024.

^