task_categories:object-detection language:en license:apache-2.0 size_categories:n<1K format:parquet modality:image modality:text library:datasets library:pandas library:mlcroissant library:polars region:us Document Layout Analysis
---
language:
- en
license: apache-2.0
task_categories:
- object-detection
dataset_info:
  features:
  - name: image_id
    dtype: int64
  - name: image
    dtype: image
  - name: bboxes
    sequence:
      sequence: float64
  - name: category_ids
    sequence: int64
  - name: category_names
    sequence: string
  splits:
  - name: train
    num_bytes: 321253578
    num_examples: 423
  - name: test
    num_bytes: 215302392
    num_examples: 282
  download_size: 514442499
  dataset_size: 536555970
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
tags:
- Document Layout Analysis
---

# HeadlineHunter

HeadlineHunter is a novel Document Layout Analysis Dataset centred on newspapers. 


The newspapers currently in the dataset are from The Daily Monitor (Uganda), but we hope to add more as time progresses.


## Class Labels
```
{0: 'Ad',
 1: 'Table',
 2: 'byline',
 3: 'caption',
 4: 'deck',
 5: 'folio',
 6: 'headline',
 7: 'illustration',
 8: 'jumpline',
 9: 'masthead',
 10: 'photograph',
 11: 'story'}
```

### Citation Information
```
@ONLINE{Headline Hunter,
	author = {William Gitta Lugoloobi},
	title = {Headline HUnter},
	month = {sep},
	year= {2024}
}
```