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Data · dataset · 2025

Non-line-of-sight imaging autocorrelation and Ground Truth Dataset

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This dataset is prepared for training the reconstruction network in non-line-of-sight imaging experiments, so that the network can recover object images from target's autocorrelation.

Description

There are two types of data in total, the image of single-digit and its corresponding autocorrelation; The image of three-digits and its corresponding autocorrelation. All images have a resolution of 128

  • 128. There are 20000 data pairs for single-digit image, and 55,000 data pairs for three-digit image. The single-digit image is derived from the publicly available MNIST dataset, and three-digit images are composed of three MINST images pieced together to form one image. You can also build this dataset yourself. 

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75% · Imaging 75%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.2186512 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[modality].local:modality:imageenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:imagingenrichment · scidb cnkeyword-concept-rules@1.0.0title+description (75%)
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