ImageNet Localization (ILSVRC LOC) is the localization subset of the ImageNet Large Scale Visual Recognition Challenge (ILSVRC). It provides per-image annotations (bounding boxes) for target object instances across the 1,000 ILSVRC categories and is used to evaluate object localization performance (commonly reported as top-5 localization error %). The localization task requires a model to both classify the primary object in an image and provide its bounding box (typically one localized box per image in the ILSVRC LOC setup). The dataset and challenge are described in the original ImageNet paper (Deng et al., CVPR 2009) and in the ILSVRC challenge overview (Russakovsky et al., arXiv:1409.0575).
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