---
license: apache-2.0
language:
- en
- de
tags:
- object-detection
- document-understanding
- invoice
- layout-analysis
- bounding-box
- ocr-prep
task_categories:
- object-detection
size_categories:
- n<1K
pretty_name: Invoice Layout Annotated BBox Dataset
dataset_info:
  features:
  - name: image
    dtype: image
  - name: image_id
    dtype: int64
  - name: document_id
    dtype: int64
  - name: document_filename
    dtype: string
  - name: page_number
    dtype: int64
  - name: width
    dtype: int64
  - name: height
    dtype: int64
  - name: objects
    struct:
    - name: id
      list: int64
    - name: area
      list: float64
    - name: bbox
      list:
        list: float32
        length: 4
    - name: category
      list:
        class_label:
          names:
            '0': invoice_metadata
            '1': vendor_block
            '2': customer_block
            '3': table_block
            '4': line_item
            '5': summary_block
            '6': payment_block
            '7': Column
  splits:
  - name: train
    num_bytes: 40359783
    num_examples: 76
  download_size: 36093604
  dataset_size: 40359783
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---

# Invoice Layout Annotated BBox Dataset

Manually annotated invoice page images exported from **AnnotateEverything**, with axis-aligned bounding boxes for **8 document-layout regions**. Built for training object detectors (YOLO, DETR, etc.) on invoice macro-structure.

## Dataset summary

| Property | Value |
|----------|-------|
| **Pages** | 76 |
| **Documents** | 1 |
| **Source PDF** | `train_images.pdf` |
| **Total annotations** | 771 |
| **Avg boxes / page** | 10.14 |
| **Image width range** | 425 – 2853 px |
| **Image height range** | 570 – 4096 px |
| **Export date** | 2026-06-22T19:27:38.375Z |
| **Annotation tool** | AnnotateEverything |
| **Project** | Invoices (id=2) |
| **On-disk size** | ~40.3 MB |

## Classes

| ID | Name | Description | Color | Count |
|----|------|-------------|-------|-------|
| 0 | `invoice_metadata` | Invoice number, date, header metadata | `#f59e0b` | 83 |
| 1 | `vendor_block` | Seller / vendor address block | `#22c55e` | 73 |
| 2 | `customer_block` | Client / customer address block | `#ef4444` | 74 |
| 3 | `table_block` | Line items table region | `#ec4899` | 76 |
| 4 | `line_item` | Individual line item row | `#8b5cf6` | 257 |
| 5 | `summary_block` | Totals / summary section | `#3b82f6` | 78 |
| 6 | `payment_block` | Payment / IBAN block | `#06b6d4` | 55 |
| 7 | `Column` | Table column header row | `#64748b` | 75 |

## Directory layout

```
.
├── README.md                 # This dataset card
├── manifest.json             # Project metadata, label definitions, document index
├── annotations.json          # Flat index of all pages + bboxes
├── documents/
│   └── train_images__doc426/
│       ├── document.json     # Document metadata
│       └── pages/
│           └── page_NNN/
│               ├── image.png
│               └── annotations.json
└── samples/                  # README preview images (JPEG)
```

### Annotation format

Each page entry in `annotations.json`:

```json
{
  "document_id": 426,
  "document_filename": "train_images.pdf",
  "page_number": 1,
  "relative_image": "documents/train_images__doc426/pages/page_001/image.png",
  "width": 2853,
  "height": 4096,
  "annotations": [
    {
      "layer": "Default",
      "label": "invoice_metadata",
      "bbox": [x_min, y_min, x_max, y_max]
    }
  ]
}
```

Bounding boxes are **absolute pixel coordinates** `[x_min, y_min, x_max, y_max]` in top-left origin.

## Sample pages

### Page 1 (8 boxes)

| Original | Annotated |
|----------|-----------|
| ![page 1 original](samples/page_001_original.jpg) | ![page 1 annotated](samples/page_001_annotated.jpg) |
### Page 20 (13 boxes)

| Original | Annotated |
|----------|-----------|
| ![page 20 original](samples/page_020_original.jpg) | ![page 20 annotated](samples/page_020_annotated.jpg) |
### Page 39 (10 boxes)

| Original | Annotated |
|----------|-----------|
| ![page 39 original](samples/page_039_original.jpg) | ![page 39 annotated](samples/page_039_annotated.jpg) |
### Page 58 (4 boxes)

| Original | Annotated |
|----------|-----------|
| ![page 58 original](samples/page_058_original.jpg) | ![page 58 annotated](samples/page_058_annotated.jpg) |
### Page 76 (8 boxes)

| Original | Annotated |
|----------|-----------|
| ![page 76 original](samples/page_076_original.jpg) | ![page 76 annotated](samples/page_076_annotated.jpg) |
### Page 19 (14 boxes)

| Original | Annotated |
|----------|-----------|
| ![page 19 original](samples/page_019_original.jpg) | ![page 19 annotated](samples/page_019_annotated.jpg) |

## Label distribution

| Label | Count |
|-------|-------|
| `line_item` | 257 |
| `invoice_metadata` | 83 |
| `summary_block` | 78 |
| `table_block` | 76 |
| `Column` | 75 |
| `customer_block (Receiver)` | 74 |
| `vendor_block (Sender)` | 73 |
| `payment_block` | 55 |

## Usage

### Load annotations from the Hub

```python
import json
from huggingface_hub import hf_hub_download

ann_path = hf_hub_download("AvoCahDoe/invoice-annotated-bbox", "annotations.json", repo_type="dataset")
with open(ann_path) as f:
    pages = json.load(f)
```

### Convert to YOLO (invoice-extractor)

This dataset is the raw export consumed by `prepare_annotated_dataset.py` in the invoice-extractor training pipeline.

```bash
python scripts/prepare_annotated_dataset.py
```

## Citation

If you use this dataset, please cite the upstream annotation project and note the export format (AnnotateEverything bbox export v1).

## License

Apache 2.0