Objects365 Dataset

Objects365 is a large-scale object detection dataset, Objects365, which has 365 object categories over 600K training images. More than 10 million, high-quality bounding boxes are manually labeled through a three-step, carefully designed annotation pipeline. It is the largest object detection dataset (with full annotation) so far and establishes a more challenging benchmark for the community.

Objects365是一个大规模的目标检测数据集，涵盖365个类别，包含超过600,000张训练图像。通过精心设计的三个阶段标注流程，手动标注了超过1,000万个高质量的目标边界框。迄今为止，它是最大的（完整标注）目标检测数据集，并为社区树立了一个更具挑战性的基准。