table-transformer
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Train with negative sample (No table in image)
Hi I would like to know how to train table detection or does it support if there are not any table in the image and XML of that image wouldn't have object. I tried to train but it give me an error which declare that there are no label (object) in XML file.
Yes, this is possible when training DETR, but we did not write the data loader to handle empty training samples.
I believe it would be just a few lines of code to make the change. If you make the change yourself, feel free to submit a pull request!
Hey Guys, Any update on this ? My concern is the above detection model detect a non tabular region as a table. I want to finetune the model with negative sample.