# Marine Munitions: Identifying Geo-Locations in Historical Documents

### Contact

Simon Van der Wulp, [north.io](https://north.io/)\
Juan Veliz, [north.io](https://north.io/)

### Description

German (and international) coastal waters are scattered with munition, from the two world wars. To deal with these munitions and prevent toxic chemical from entering the water marine ecosystem, we need to find, identify and remediate.

The first step deals with the past, mining information available from historical documents to learn where, what and how many munitions could be found, to make the search as effective as possible. This included documents describing munition dumping, sea-battles or mine laying activities that occurred during and in post-war periods.

Using scans of historical text documents, we want to retrieve the positions of ships loaded with munitions that were dumped after World War II. Currently a Neural Net is, in a first step, used to improve the image quality for the OCR scans and, in a second step, a further net is used to identify and extract relevant text information.

### Dataset

We have a training data set consisting of \~1100 scans; it includes the original scans, a corresponding set of scans with manually improved image quality and a corresponding set of labelled text element for each scan.

### How you can contribute

We are looking forward to participants who want to support us in improving our models and applying new models that have been published in recent times.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://opencampus.gitbook.io/coding-waterkant/projects/north-io.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.