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MPI Sintel Dataset (Depth and Optical Flow Benchmark) (Relative Depth).

The MPI Sintel Dataset is a synthetic dataset for the evaluation of optical flow and depth estimation algorithms, derived from the open source 3D animated short film 'Sintel' by the Blender Foundation. The dataset includes long sequences with large motions, specular reflections, motion blur, defocus blur, and atmospheric effects. For depth estimation, it provides ground truth depth maps (in meters), camera data (intrinsic and extrinsic parameters), and image sequences, rendered under realistic and challenging conditions. It is widely used in benchmarking optical flow and monocular depth estimation methods. The Sintel dataset is notable for its diversity, complexity, and photorealistic synthetic scenes and is a key benchmark in both the optical flow and depth estimation research communities.

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  • 01A public checkpoint or API endpoint
  • 02A reproduction script with frozen commit + seed
  • 03Declared evaluation environment (Python, deps)
  • 04One row per metric declared by this dataset
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