I’m trying to create a distilled model of SAM Google Colab
I’m able to label the data and train, but the predict doesn’t find anything
Please help
The purpose is to find bounded area in a document
SAM can do it well but it’s heavy and slow, therefore I’m trying to create a Autodistill YOLOv8 that will find the bounded area in a document
I’m not sure that YOLOv8, because the concept of document is foreign to YOLOv8, is there a better way to create a SAM distilled model?
@Elia_Wise did you try the Autodistill workflow? And were there any issues?
Asking because we do have a blog post that helps to evaluate prompts for use with Autodistill:
bordered table, borderless table, data table, data table cells)
This will help you to get a better idea of what the best prompt will be for labelling the document and/or parts of the document you are looking to identify and classify with the model.
I tried the Table Extraction PDF Object Detection Dataset and Pre-Trained Model by Mohamed Traore
The precision is OK, but I was not able to get any data about the cell structure
Is it the original model from the article?
