Published August 24, 2023
| Version v1
Dataset
Open
Data for Non-Redundant Image Clustering of Early Medieval Glass Beads (DSAA 2023)
Authors/Creators
- 1. University of Vienna
- 2. LMU Munich
- 3. Austrian Academy of Sciences
Description
Archeological glass beads images with measurements (width, height, weight), pretrained models, resampled data (with less color bias) and clustering results from the paper Non-Redundant Image Clustering of Early Medieval Glass Beads (Accepted at DSAA 2023)
Files
clustering_results.zip
Files
(5.7 GB)
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md5:7ac894c87306638af3bede41ef9e04b8
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72.9 MB | Preview Download |
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md5:cfbe081fb61a6c9c8118c5bfa9a16483
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4.1 GB | Preview Download |
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md5:93c228a3ae62f0ac2d50032ca397269f
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48.3 kB | Preview Download |
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md5:de3b7d10d08638e0028d4a9d4047409d
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1.3 GB | Preview Download |
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md5:cb7afaee91e43e507794cd9d9153fb17
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250.4 MB | Preview Download |