Update README.md

README.md

@@ -8,7 +8,7 @@ pipeline_tag: image-segmentation
 
 We present the model cmarkea/dit-base-layout-detection, which allows extracting different layouts (Text, Picture, Caption, Footnote, etc.) from an image of a document.
 This is a fine-tuning of the model [dit-base](https://huggingface.co/microsoft/dit-base) on the [DocLayNet](https://huggingface.co/datasets/ds4sd/DocLayNet)
-dataset. This model can jointly predict masks and bounding boxes for documentary objects. It is ideal for processing documentary corpora to be ingested into an
+dataset. It is ideal for processing documentary corpora to be ingested into an
 ODQA system.
 
 This model allows extracting 11 entities, which are: Caption, Footnote, Formula, List-item, Page-footer, Page-header, Picture, Section-header, Table, Text, and Title.