• Corpus ID: 195874348

Semantic Comparison of State-of-the-Art Deep Learning APIs for Image Multi-Label Classification

@inproceedings{Kubany2019SemanticCO,
  title={Semantic Comparison of State-of-the-Art Deep Learning APIs for Image Multi-Label Classification},
  author={Adam Kubany and Shimon Ben Ishay and Ruben-sacha Ohayon and Armin Shmilovici and Lior Rokach and Tomer Doitshman},
  year={2019}
}
Image understanding relies heavily on accurate multilabel classification. In recent years, deep learning (DL) algorithms have become very successful tools for multi-label classification of image objects, and various implementations of DL algorithms have been released for public use in the form of application programming interfaces (APIs). In this study, we evaluate and compare 10 of the most prominent publicly available APIs in a best-of-breed challenge. The evaluation is performed on the… 

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