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Jun 16, 2025 -
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MD5: 1da434e23d584836b61d03f7a8843186
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Jun 16, 2025 -
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MD5: c52d85726705330ba82b0da1d52e8db8
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Jun 16, 2025 -
Raw data files from the project
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MD5: d2c158b3075855ad7ddf1a0a361b04f5
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Jun 16, 2025 -
Raw data files from the project
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MD5: 72255f6fcb3c9a0736c8192689257464
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Jun 16, 2025 -
Raw data files from the project
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MD5: 5f620de2d8c132f07c7df7bfb9de29fa
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Jun 16, 2025 -
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MD5: fbe958cf6a64e0a62c43dfac58a77314
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Jun 16, 2025 -
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Plain Text - 4.5 KB -
MD5: 43a9087ba4ea68a10570cb02193063ed
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Jun 16, 2025 -
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MD5: 2f4ecb259ac220feeac64c3df37dbc4b
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Jun 16, 2025 - University of South-Eastern Norway
Eide Magnus, 2025, "Software for Using the Dataset", https://doi.org/10.23642/USN.29207537, DataverseNO, V1
DATASET MIGRATED FROM FIGSHARE: These applications were created to extract image frames from the .svo2 files in the dataset and automatically segment and classify the castings, using their morphological shape. An NVIDIA GPU is required to run the image extractor application. |
Jun 16, 2025 -
Software for Using the Dataset
Python Source Code - 39.4 KB -
MD5: 81b3bf6dfd84a958d00f1b569a9af8ed
automaticClassification.py |
