https://github.com/sap-samples/clustertabnet
Implementation of the table detection and table structure recognition deep learning model described in the paper "ClusterTabNet: Supervised clustering method for table detection and table structure recognition".
https://github.com/sap-samples/clustertabnet
document-analysis-recognition icdar icdar2024 machine-learning research sample
Last synced: about 1 year ago
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Implementation of the table detection and table structure recognition deep learning model described in the paper "ClusterTabNet: Supervised clustering method for table detection and table structure recognition".
- Host: GitHub
- URL: https://github.com/sap-samples/clustertabnet
- Owner: SAP-samples
- License: apache-2.0
- Created: 2024-02-16T18:23:13.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2025-03-15T11:37:31.000Z (over 1 year ago)
- Last Synced: 2025-03-27T05:41:43.619Z (over 1 year ago)
- Topics: document-analysis-recognition, icdar, icdar2024, machine-learning, research, sample
- Language: Jupyter Notebook
- Homepage:
- Size: 133 MB
- Stars: 11
- Watchers: 6
- Forks: 1
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE