Event Guided Video Depth Estimation Workshop Dataset This dataset is a mirrored and aligned workshop ready version of the DVD event guided video depth estimation data. It packages each scene into a canonical folder tree that aligns: low light RGB frames per frame event slices a scene level lowlight event.npz the matched depth ground truth copied from inference results/ /normal/depth.npz The dataset is designed for direct upload to Hugging Face as a dataset repository. The official competition split is scene level and uses a 6:2:2 train/val/test ratio by video count. The split is encoded directly in the top level train/ , val/ , and test/ folders. Dataset Goals This dataset is intended for event guided video depth estimation in low light conditions. The expected input is: low light event data low light RGB images The expected output is: aligned depth supervision for the corresponding scene Directory Layout The canonical structure is: Each scene directory contains a manifest.json with the release and split metadata. Each scene contains: File Semantics Low light RGB frames The PNG files under low/ are the low light image sequence used as model input. Event slices Each per frame .npz f…
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