README.md

## Model description
detr-doc-table-detection is a model trained to detect both Bordered and Borderless tables in documents based on [facebook/detr-resnet-50](https://huggingface.co/facebook/detr-resnet-50)

## Training data
The model was trained on ICDAR2019 Table Dataset

### How to use

```python
from transformers import DetrFeatureExtractor, DetrForObjectDetection
from PIL import Image
import requests
image = Image.open("Image path")
feature_extractor = DetrFeatureExtractor.from_pretrained('TahaDouaji/detr-doc-table-detection')
model = DetrForObjectDetection.from_pretrained('TahaDouaji/detr-doc-table-detection')
inputs = feature_extractor(images=image, return_tensors="pt")
outputs = model(**inputs)
# model predicts bounding boxes and corresponding COCO classes
logits = outputs.logits
bboxes = outputs.pred_boxes
```