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Upload invoice annotated bbox dataset with README samples

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  1. README.md +199 -0
  2. README.txt +13 -0
  3. annotations.json +0 -0
  4. documents/train_images__doc426/document.json +7 -0
  5. documents/train_images__doc426/pages/page_001/annotations.json +137 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ - de
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+ tags:
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+ - object-detection
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+ - document-understanding
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+ - invoice
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+ - layout-analysis
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+ - bounding-box
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+ - ocr-prep
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+ task_categories:
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+ - object-detection
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+ size_categories:
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+ - n<1K
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+ pretty_name: Invoice Layout Annotated BBox Dataset
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+ dataset_info:
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+ features:
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+ - name: document_id
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+ dtype: int64
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+ - name: page_number
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+ dtype: int64
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+ - name: image
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+ dtype: image
26
+ - name: width
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+ dtype: int64
28
+ - name: height
29
+ dtype: int64
30
+ - name: annotations
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+ dtype:
32
+ list:
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+ - name: layer
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+ dtype: string
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+ - name: label
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+ dtype: string
37
+ - name: bbox
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+ dtype:
39
+ sequence: float64
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+ splits:
41
+ - name: train
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+ num_examples: 76
43
+ download_size: 42295891
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+ dataset_size: 42295891
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: train
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+ path: "**"
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+ ---
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+
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+ # Invoice Layout Annotated BBox Dataset
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+
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+ 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.
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+
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+ ## Dataset summary
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+
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+ | Property | Value |
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+ |----------|-------|
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+ | **Pages** | 76 |
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+ | **Documents** | 1 |
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+ | **Source PDF** | `train_images.pdf` |
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+ | **Total annotations** | 771 |
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+ | **Avg boxes / page** | 10.14 |
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+ | **Image width range** | 425 – 2853 px |
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+ | **Image height range** | 570 – 4096 px |
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+ | **Export date** | 2026-06-22T19:27:38.375Z |
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+ | **Annotation tool** | AnnotateEverything |
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+ | **Project** | Invoices (id=2) |
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+ | **On-disk size** | ~40.3 MB |
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+
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+ ## Classes
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+
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+ | ID | Name | Description | Color | Count |
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+ |----|------|-------------|-------|-------|
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+ | 0 | `invoice_metadata` | Invoice number, date, header metadata | `#f59e0b` | 83 |
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+ | 1 | `vendor_block` | Seller / vendor address block | `#22c55e` | 73 |
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+ | 2 | `customer_block` | Client / customer address block | `#ef4444` | 74 |
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+ | 3 | `table_block` | Line items table region | `#ec4899` | 76 |
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+ | 4 | `line_item` | Individual line item row | `#8b5cf6` | 257 |
81
+ | 5 | `summary_block` | Totals / summary section | `#3b82f6` | 78 |
82
+ | 6 | `payment_block` | Payment / IBAN block | `#06b6d4` | 55 |
83
+ | 7 | `Column` | Table column header row | `#64748b` | 75 |
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+
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+ ## Directory layout
86
+
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+ ```
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+ .
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+ ├── README.md # This dataset card
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+ ├── manifest.json # Project metadata, label definitions, document index
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+ ├── annotations.json # Flat index of all pages + bboxes
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+ ├── documents/
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+ │ └── train_images__doc426/
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+ │ ├── document.json # Document metadata
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+ │ └── pages/
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+ │ └── page_NNN/
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+ │ ├── image.png
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+ │ └── annotations.json
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+ └── samples/ # README preview images (JPEG)
100
+ ```
101
+
102
+ ### Annotation format
103
+
104
+ Each page entry in `annotations.json`:
105
+
106
+ ```json
107
+ {
108
+ "document_id": 426,
109
+ "document_filename": "train_images.pdf",
110
+ "page_number": 1,
111
+ "relative_image": "documents/train_images__doc426/pages/page_001/image.png",
112
+ "width": 2853,
113
+ "height": 4096,
114
+ "annotations": [
115
+ {
116
+ "layer": "Default",
117
+ "label": "invoice_metadata",
118
+ "bbox": [x_min, y_min, x_max, y_max]
119
+ }
120
+ ]
121
+ }
122
+ ```
123
+
124
+ Bounding boxes are **absolute pixel coordinates** `[x_min, y_min, x_max, y_max]` in top-left origin.
125
+
126
+ ## Sample pages
127
+
128
+ ### Page 1 (8 boxes)
129
+
130
+ | Original | Annotated |
131
+ |----------|-----------|
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+ | ![page 1 original](samples/page_001_original.jpg) | ![page 1 annotated](samples/page_001_annotated.jpg) |
133
+ ### Page 20 (13 boxes)
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+
135
+ | Original | Annotated |
136
+ |----------|-----------|
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+ | ![page 20 original](samples/page_020_original.jpg) | ![page 20 annotated](samples/page_020_annotated.jpg) |
138
+ ### Page 39 (10 boxes)
139
+
140
+ | Original | Annotated |
141
+ |----------|-----------|
142
+ | ![page 39 original](samples/page_039_original.jpg) | ![page 39 annotated](samples/page_039_annotated.jpg) |
143
+ ### Page 58 (4 boxes)
144
+
145
+ | Original | Annotated |
146
+ |----------|-----------|
147
+ | ![page 58 original](samples/page_058_original.jpg) | ![page 58 annotated](samples/page_058_annotated.jpg) |
148
+ ### Page 76 (8 boxes)
149
+
150
+ | Original | Annotated |
151
+ |----------|-----------|
152
+ | ![page 76 original](samples/page_076_original.jpg) | ![page 76 annotated](samples/page_076_annotated.jpg) |
153
+ ### Page 19 (14 boxes)
154
+
155
+ | Original | Annotated |
156
+ |----------|-----------|
157
+ | ![page 19 original](samples/page_019_original.jpg) | ![page 19 annotated](samples/page_019_annotated.jpg) |
158
+
159
+ ## Label distribution
160
+
161
+ | Label | Count |
162
+ |-------|-------|
163
+ | `line_item` | 257 |
164
+ | `invoice_metadata` | 83 |
165
+ | `summary_block` | 78 |
166
+ | `table_block` | 76 |
167
+ | `Column` | 75 |
168
+ | `customer_block (Receiver)` | 74 |
169
+ | `vendor_block (Sender)` | 73 |
170
+ | `payment_block` | 55 |
171
+
172
+ ## Usage
173
+
174
+ ### Load annotations from the Hub
175
+
176
+ ```python
177
+ import json
178
+ from huggingface_hub import hf_hub_download
179
+
180
+ ann_path = hf_hub_download("AvoCahDoe/invoice-annotated-bbox", "annotations.json", repo_type="dataset")
181
+ with open(ann_path) as f:
182
+ pages = json.load(f)
183
+ ```
184
+
185
+ ### Convert to YOLO (invoice-extractor)
186
+
187
+ This dataset is the raw export consumed by `prepare_annotated_dataset.py` in the invoice-extractor training pipeline.
188
+
189
+ ```bash
190
+ python scripts/prepare_annotated_dataset.py
191
+ ```
192
+
193
+ ## Citation
194
+
195
+ If you use this dataset, please cite the upstream annotation project and note the export format (AnnotateEverything bbox export v1).
196
+
197
+ ## License
198
+
199
+ Apache 2.0
README.txt ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ AnnotateEverything export
2
+ =======================
3
+
4
+ Invoices/manifest.json Project metadata and label definitions
5
+ Invoices/annotations.json All pages (flat index)
6
+ Invoices/documents/ Per-document folders
7
+ <document>/document.json Document metadata
8
+ <document>/pages/ Rendered page images + annotations
9
+ page_NNN/image.<ext>
10
+ page_NNN/annotations.json
11
+ <document>/source/ Original PDF (when included at export)
12
+
13
+ Exported: 2026-06-22T19:27:38.375Z
annotations.json ADDED
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+ {
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+ "id": 426,
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+ "project_id": 2,
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+ "filename": "train_images.pdf",
5
+ "created_at": "2026-06-22T13:23:20.777Z",
6
+ "page_count": 76
7
+ }
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