Improving Crowdsourcing-Based Image Classification Through Expanded Input Elicitation and Machine Learning – Frontiers
1. Introduction In recent years, computer vision approaches based on machine learning (ML) and, in particular, those based on deep convolutional neural networks have demonstrated significant performance improvements over conventional approaches for image classification and annotation (Krizhevsky et al., 2012; Tan and Le, 2019; Zhai et al., 2021). However, these algorithms generally require a large and diverse set of annotated data to generate accurate classifications. Large amounts of annotated data are not always available, especially for tasks where producing high-quality meta-data is costly, such as image-based medical diagnosis (Cheplygina et…
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