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Jun 16, 2025 -
Raw data files from the project
Unknown - 952.8 MB -
MD5: d2c158b3075855ad7ddf1a0a361b04f5
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Jun 16, 2025 -
Raw data files from the project
Unknown - 1.3 GB -
MD5: 72255f6fcb3c9a0736c8192689257464
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Jun 16, 2025 -
Raw data files from the project
Unknown - 700.5 MB -
MD5: 5f620de2d8c132f07c7df7bfb9de29fa
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Jun 16, 2025 -
Raw data files from the project
Unknown - 687.4 MB -
MD5: fbe958cf6a64e0a62c43dfac58a77314
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Jun 16, 2025 -
Raw data files from the project
Plain Text - 4.5 KB -
MD5: 43a9087ba4ea68a10570cb02193063ed
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Jun 16, 2025 -
Raw data files from the project
Plain Text - 1.8 KB -
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 |
Jun 16, 2025 -
Software for Using the Dataset
Python Source Code - 59.5 KB -
MD5: aec2f153a466d7ee9db9b9c6dbb29a0f
automaticSegmentation.py |
Jun 16, 2025 -
Software for Using the Dataset
Python Source Code - 4.6 KB -
MD5: f7604cb13f569edb65830983ae562618
ImageExtractor.py |
