Object Detection
ultralytics
TensorBoard
PyTorch
v8
ultralyticsplus
yolov8
yolo
vision
awesome-yolov8-models
Eval Results (legacy)
Instructions to use keremberke/yolov8m-table-extraction with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use keremberke/yolov8m-table-extraction with ultralytics:
from ultralytics import YOLOvv8 model = YOLOvv8.from_pretrained("keremberke/yolov8m-table-extraction") source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
Inference
#2
by deveshcse - opened
I am trying to use this model for table detection and it is working. I need help that how can I filter the detected tables ie I want only borderless in my results.
Thank you.
I am trying to use this model for table detection and it is working. I need help that how can I filter the detected tables ie I want only borderless in my results.
Thank you.
Hi Deveshcse, you can do results[0].boxes.cls for class labels, which is in the author’s documentation https://github.com/keremberke/awesome-yolov8-models