ViewRecDB 100K Dataset Summary ViewRecDB 100K is a 3D viewpoint recommendation dataset for AI photography. It contains 100K training samples and 1K test samples. Each sample consists of a paired suboptimal and optimal image, along with the corresponding 3D viewpoint change annotation. Given a suboptimal image, the task is to predict the 3D viewpoint change toward the optimal image. The dataset is automatically constructed from the Unsplash Full Dataset . The test samples form a dedicated benchmark, where each optimal image has been verified by experts to have better photographic composition than the corresponding suboptimal image. Dataset Structure Data Structure The dataset is organized into train , val , and test splits. Each sample folder contains one optimal image and 1 or 2 generated suboptimal images with corresponding viewpoint change annotations. Data Instances A sample from the training set is provided below: Suboptimal Image Optimal Image Viewpoint Change { "change orientation": true, "pose": [ 0.06223759800195694, 0.004903144668787718, 0.06147797778248787, 0.007686913013458252, 0.1884094774723053, 0.017775092273950577, 0.981899619102478, 0.4500928404485889, 0.65186432378…
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