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Data · dataset · 2019

DeepFRET model training and test data

Listed in Teesside University Research Data Repository

Training and test data for DeepFRET neural network model training, saved as compressed NumPy binaries.

Description

All X (input) is formatted as tensors of shape (n, 200, 3), and y (target class) data as tensors of shape (n, 200, 1) where n is the number of samples. Each file can be opened with np.load(path)["arr_0"]

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/rbgdbd3tg5.18 h agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
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