File size: 2,466 Bytes
06d5ea4 dfabea3 06d5ea4 dfabea3 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
---
datasets:
- ds4sd/DocLayNet
language:
- en
tags:
- YOLO
- document-analysis
---
**More details refer to [Github](https://github.com/ppaanngggg/yolo-doclaynet)**
## Introduction
You know that RAG is very popular these days. There are many applications that support talking to documents. However,
there is a huge performance drop when talking to a complex document due to the complex structures. So it's a challenge
to extract content from complex document and organize it into parsable form. This repo aims to solve this challenge with
a fast and good performance method.
## Detection Sample
![image](https://github.com/ppaanngggg/yolo-doclaynet/raw/main/annotated-test.png)
## Method
1. `YOLO` is the most advenced detect model developed by [Ultralytics](https://github.com/ultralytics/ultralytics). YOLO
has 5 different sizes of base model and a super powerful framework for training and deployment. So I chose YOLO to
solve this challenge.
2. `DocLayNet` is a human-annotated document layout segmentation dataset containing 80863 pages from a broad variety of
document sources. As far as I know, it's the most qualified document layout analysis dataset.
## Usage
```python
from ultralytics import YOLO
model = YOLO("{path to model file}")
pred = model("{path to test image}")
print(pred)
```
## Dataset
DocLayNet can be found more details and download at this [link](https://github.com/DS4SD/DocLayNet). It has 11 labels:
- **Text**: Regular paragraphs.
- **Picture**: A graphic or photograph.
- **Caption**: Special text outside a picture or table that introduces this picture or
table.
- **Section-header**: Any kind of heading in the text, except overall document title.
- **Footnote**: Typically small text at the bottom of a page, with a number or symbol
that is referred to in the text above.
- **Formula**: Mathematical equation on its own line.
- **Table**: Material arranged in a grid alignment with rows and columns, often
with separator lines.
- **List-item**: One element of a list, in a hanging shape, i.e., from the second line
onwards the paragraph is indented more than the first line.
- **Page-header**: Repeating elements like page number at the top, outside of the
normal text flow.
- **Page-footer**: Repeating elements like page number at the bottom, outside of the
normal text flow.
- **Title**: Overall title of a document, (almost) exclusively on the first page and
typically appearing in large font. |