Pano3D: GibsonV2 Tiny-Medium-Fullplus (/w Filmic) Low Resolution

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Dataset information

Country of origin
Updated
2021.06.21 00:00
Created
2021.01.01
Available languages
English
Keywords
Depth Estimation, Computer Vision, Deep Learning, 3D Vision, Surface Orientation Estimation, Omnidirectional Dataset, Benchmark, Spherical Panoramas, Data-driven Methods, Scene Understanding, 360, Geometry Estimation, Spherical Depth Estimation, Indoor Scenes
Quality scoring

Dataset description

Pano3D is a new benchmark for depth estimation from spherical panoramas. Its goal is to drive progress for this task in a consistent and holistic manner. To achieve that we generate a new dataset and integrate evaluation metrics that capture not only depth performance, but also secondary traits like boundary preservation and smoothness. Moreover, Pano3D takes a step beyond typical intra-dataset evaluation schemes to inter-dataset performance assessment. By disentangling generalization to three different axes, Pano3D facilitates proper extrapolation assessment under different out-of-training data conditions. Relying on the Pano3D holistic benchmark for 360 depth estimation we perform an extended analysis and derive a solid baseline for the task.
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190K+
indexed dataset pages
32
countries and EU institutions
2019
API-first since
Free API quota
for evaluation and prototypes
SLA
history and push on production APIs
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