Effects of annotation quality on model performance
2021 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)(2021)
摘要
Supervised machine learning generally requires pre-labelled data. Although there are several open access and pre-annotated datasets available for training machine learning algorithms, most contain a limited number of object classes, which may not be suitable for specific tasks. As previously available pre-annotated data is not usually sufficient for custom models, most of the real world applicatio...
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关键词
Training,Machine learning algorithms,Annotations,Open Access,Training data,Learning (artificial intelligence),Object detection
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