# Datasheet training on different customer specification **URL:** \ **Category:** Uncategorized\ **Tags:** usage\ **Created:** [April 12, 2021, 11:44am UTC](https://support.prodi.gy/t/datasheet-training-on-different-customer-specification/4125 "2021-04-12T11:44:28Z")\ **Posts on this page:** 1\ **Showing post:** 2
**Author:** ![ines](https://sea2.discourse-cdn.com/flex020/user_avatar/support.prodi.gy/ines/32/3_2.png) [@ines](https://support.prodi.gy/u/ines)\ **Post date:** [April 14, 2021, 12:19am UTC](https://support.prodi.gy/t/datasheet-training-on-different-customer-specification/4125/2 "2021-04-14T00:19:47Z")
Hi! It's difficult to give good advice here because it really depends on the documents, the types of data you want to extract and the features you want to use in your model. This will also inform how you set up the annotation task in the end. If you're working with regular text, a pipeline of OCR / text extraction plus a regular NLP model, e.g. a text classifier, may work fine. If you're working with PDFs with more complex layouts, framing it as a computer vision task may be a better option. For some general discussion around working with text-based images, you might also find this thread interesting: > [@Image segmentation (bounding boxes) for textual images](https://support.prodi.gy/t/image-segmentation-bounding-boxes-for-textual-images/4068): > > Hello everybody, I am going to train a new model for image segmentation. My aim is to find the various blocks that make up my documents. I basically convert the documents (pdf/doc) into jpg and then the model should give me the bounding boxes. My problem is that i need to define a bigger box with others smaller inside. Please take a look at the attach. With the red boxes i define how i would segment the document and with the inner blue blocks other specif… --- _[View the full topic](https://support.prodi.gy/t/datasheet-training-on-different-customer-specification/4125)._