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README.md
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---
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base_model:
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- PaddlePaddle/RT-DETR-L_wireless_table_cell_det
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---
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# RT-DETR Fine-Tuned Table Cell Detection Model
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This model is a fine-tuned `RT-DETR-L_wireless_table_cell_det` model for detecting individual table cells in images.
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It is based on the Real-Time DEtection TRansformer architecture and is optimized for precise table cell boundary detection.
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## Fine-Tuning Details
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- Base model: `RT-DETR-L_wireless_table_cell_det`
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- Task: Table cell boundary detection
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- Data type: Image
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- File format: TXT
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- Training data: 947,642 examples
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- Data size: 40.1 GB
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- Epochs: 20
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## Evaluation
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| Metric | Before | After |
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| --- | ---: | ---: |
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| Precision | 0.718 | 0.770 |
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## Government R&D Project
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This software is a result of the following government research and development project:
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| Item | Details |
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|------|---------|
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| Project Name | AI 기반 중소기업 업무 자동화 및 통합 검색 솔루션 |
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| Project No. | RQT-25-090153 |
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| Supervisor | 정보통신산업진흥원 |
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| Performer | Proten Co., Ltd. |
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| R&D Period | 2026.01.01 ~ 2026.06.30 |
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