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Synthetic dataset generation for object-to-model deep learning in industrial applications
The availability of large image data sets has been a crucial factor in the success of deep learning-based classification and detection methods. Yet, while data sets for everyday objects are widely available, data for specific industrial use-cases (e.g., identifying packaged products in a warehouse)...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
PeerJ Inc.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924434/ https://www.ncbi.nlm.nih.gov/pubmed/33816875 http://dx.doi.org/10.7717/peerj-cs.222 |