mllife
mllife
@PeterStaar-IBM , any update to https://github.com/DS4SD/docling-ibm-models for table-parsing to utilise this?
@PeterStaar-IBM , I am using your table model and integrated to my code based on the tests which uses iocr.parse format https://github.com/DS4SD/docling-ibm-models/blob/main/tests/test_data/samples/ADS.2007.page_123.png_iocr.parse_format.json ; what are changes required for me? It...
This is a scanned document. You should use OCR argument to parse it.
Hello, @dimitri009 ; You can train your own custom object detection model that is faster rt-detr or the newer yolo v11 https://docs.ultralytics.com/models/rtdetr/ ; Personally, I have now moved to TableFormer...
@PeterStaar-IBM , have you benchmarked docling_v2 on the dp-bench? How good it is on tables?
@PeterStaar-IBM , I found this - https://huggingface.co/ds4sd/docling-models#tableformer is this the same? Model (TEDS) | Simple table | Complex table | All tables -- | -- | -- | -- Tabula...
Hello, @PeterStaar-IBM , I see the the OTSL paper have some numbers (95.5) but they are on PubLayNet tables, which tables do dp-bench uses? Will you share the new results...
@PeterStaar-IBM , any update to this?