OTB

홈페이지 · 논문 416편

Object Tracking Benchmark (OTB) is a visual tracking benchmark that is widely used to evaluate the performance of a visual tracking algorithm. The dataset contains a total of 100 sequences and each is annotated frame-by-frame with bounding boxes and 11 challenge attributes. [OTB-2013](otb-2013) dataset contains 51 sequences and the [OTB-2015](otb-2015) dataset contains all 100 sequences of the OTB dataset. Source: Deep Meta Learning for Real-Time Target-Aware Visual Tracking

벤치마크