---
base_model:
- PaddlePaddle/RT-DETR-L_wireless_table_cell_det
---

# RT-DETR Fine-Tuned Table Cell Detection Model

This model is a fine-tuned `RT-DETR-L_wireless_table_cell_det` model for detecting individual table cells in images. 
It is based on the Real-Time DEtection TRansformer architecture and is optimized for precise table cell boundary detection.

## Fine-Tuning Details

- Base model: `RT-DETR-L_wireless_table_cell_det`
- Task: Table cell boundary detection
- Data type: Image
- File format: TXT
- Training data: 947,642 examples
- Data size: 40.1 GB
- Epochs: 20

## Evaluation

| Metric | Before | After |
| --- | ---: | ---: |
| Precision | 0.718 | 0.770 |

## Government R&D Project

This software is a result of the following government research and development project:

| Item | Details |
|------|---------|
| Project Name | AI 기반 중소기업 업무 자동화 및 통합 검색 솔루션 |
| Project No. | RQT-25-090153 |
| Supervisor | 정보통신산업진흥원 |
| Performer | Proten Co., Ltd. |
| R&D Period | 2026.01.01 ~ 2026.06.30 |