41 to 50 of 65 Results
Aug 13, 2026 -
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 89.9 MB -
MD5: bd55a9f8c0203455d20c04b5134f5a9b
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Aug 13, 2026 -
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 6.4 MB -
MD5: f9158499298a558ee065e424aef83633
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Aug 13, 2026 -
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 6.6 MB -
MD5: 261ab504082bf1f3e40ef42580580000
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Aug 13, 2026 -
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 31.1 MB -
MD5: 00d9886b4914fb0737b6017971f7ef2a
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Aug 13, 2026 -
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 7.0 MB -
MD5: 0bd9072c3c30c064ab8a02bf5e0f2222
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Aug 13, 2026 -
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 29.6 MB -
MD5: 9778ffb7ba0d3047b6776b7bb2006225
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Aug 13, 2026 -
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 89.9 MB -
MD5: bd55a9f8c0203455d20c04b5134f5a9b
|
Aug 13, 2026 -
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
ZIP Archive - 7.6 MB -
MD5: ce32f5fbf596d2f29651523e6226afff
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Aug 13, 2026 -
ShapeDomainLab: A Controlled Synthetic Dataset of Simple Geometric Shapes for Studying Domain Robustness of Computer Vision Models
Plain Text - 102 B -
MD5: 138bfead709a6051069d92f5b9d00cc4
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Anisa, Kasim; Alexandr, Palagin; Petro, Stetsyuk; Olha, Khomiak, 2025, "Solutions to the symmetric traveling salesman problem for 1354 locations in the Kyiv region: Concorde solver", https://doi.org/10.48788/DVUA/7P2OE6, DataverseUA, V2, UNF:6:LkepojHDzM92QCMow9MEvg== [fileUNF]
The dataset includes geographic and Euclidean coordinates of 1354 locations in Kyiv region (including Kyiv city) and contains both input and output data for solving the symmetric traveling salesman problem (STSP) using Euclidean (L2) and Manhattan (L1) metrics. The dataset is int... |
