Abstract: Highlights•Review of the evolution of generic and application-specific object recognition datasets with a focus on the deep learning era.•Analysis of the milestone object recognition challenges and benchmarks.•Tabular summary of datasets and challenges with the corresponding statistics, descriptions, and evaluation metrics.•Comprehensive overview of the evaluation criteria frequently used in object recognition competitions and benchmarks.
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