Image Classification Benchmark (ICB)

作者：

Highlights：

• An image benchmark ecosystem to easily configure and run algorithms and workflows.

• Performance metrics can be measured and compared to the ones of state-of-the-art systems.

• A default dataset is provided, but it can be replaced or added to support specific experiments.

• A step-by-step comparison on the use of three convolution neural networks in image food recognition.

摘要

•An image benchmark ecosystem to easily configure and run algorithms and workflows.•Performance metrics can be measured and compared to the ones of state-of-the-art systems.•A default dataset is provided, but it can be replaced or added to support specific experiments.•A step-by-step comparison on the use of three convolution neural networks in image food recognition.

论文关键词：Benchmark ecosystem,Image classification,CNN,Food recognition

论文评审过程：Received 14 March 2019, Revised 30 September 2019, Accepted 1 October 2019, Available online 2 October 2019, Version of Record 17 October 2019.

论文官网地址：https://doi.org/10.1016/j.eswa.2019.112998