HiSpatial Training Data We open source a large subset of the training data used in HiSpatial, consisting of 1.2M images with rich spatial annotations: Split Images Source Description In the Wild o365 ~1M Objects365 Internet images with MoGe2 estimated metric monocular point clouds and multi level spatial QA annotations (orientation, spatial relation, distance, depth comparison, object size, perspective taking, etc.) 3D Labeled ~200K CA 1M 3D scene images with ground truth camera intrinsics, metric monocular point clouds, and QA annotations:(orientation, perspective taking, spatial relation, distance, problem solving etc.) 📄 Paper : HiSpatial For data loading and usage, please refer to the dataloader in https://github.com/microsoft/HiSpatial.
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