Hybrid synthetic data generation pipeline that outperforms real data
Fine-tuning a pretrained model with real data for a machine learning task requires many hours of manual work, especially for computer vision tasks, where collection and annotation of data can be very time-consuming. We present a framework and methodology for synthetic data collection that is not onl...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
SPIE
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |