Cargando…
Automatic Bounding Box Annotation with Small Training Datasets for Industrial Manufacturing
In the past few years, object detection has attracted a lot of attention in the context of human–robot collaboration and Industry 5.0 due to enormous quality improvements in deep learning technologies. In many applications, object detection models have to be able to quickly adapt to a changing envir...
Autores principales: | Geiß, Manuela, Wagner, Raphael, Baresch, Martin, Steiner, Josef, Zwick, Michael |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962188/ https://www.ncbi.nlm.nih.gov/pubmed/36838142 http://dx.doi.org/10.3390/mi14020442 |
Ejemplares similares
-
Point Cloud Instance Segmentation with Inaccurate Bounding-Box Annotations
por: Peng, Yinyin, et al.
Publicado: (2023) -
A biomedically oriented automatically annotated Twitter COVID-19 dataset
por: Hernandez, Luis Alberto Robles, et al.
Publicado: (2021) -
A Biomedically oriented automatically annotated Twitter COVID-19 Dataset
por: Robles Hernandez, Luis Alberto, et al.
Publicado: (2021) -
Automatic detection and classification of manufacturing defects in metal boxes using deep neural networks
por: Essid, Oumayma, et al.
Publicado: (2018) -
Dataset of the frequency patterns of publications annotated to human protein-coding genes, their protein products and genetic relevance
por: Zwick, Matthias, et al.
Publicado: (2019)