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extract the structure of invoice

Object Detection

Dataset Versions

Try Pre-Trained Model

2022-10-28 5:07pm

Generated on Oct 28, 2022

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Popular Download Formats

YOLOv11

TXT annotations and YAML config used with YOLOv11.

YOLOv9

TXT annotations and YAML config used with YOLOv9.

YOLOv8

TXT annotations and YAML config used with YOLOv8.

YOLOv5

TXT annotations and YAML config used with YOLOv5.

YOLOv7

TXT annotations and YAML config used with YOLOv7.

COCO JSON

COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.

YOLO Darknet

Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.

Pascal VOC XML

Common XML annotation format for local data munging (pioneered by ImageNet).

TFRecord

TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.

PaliGemma

PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.

CreateML JSON

CreateML JSON format is used with Apple's CreateML and Turi Create tools.

Other Formats

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787 Total Images

View All Images

Dataset Split

Train Set 98%

774Images

Valid Set 1%

10Images

Test Set 0%

3Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 416x416

Grayscale: Applied

Augmentations

Outputs per training example: 3

Flip: Horizontal

90° Rotate: Clockwise, Counter-Clockwise

Brightness: Between -20% and +20%

Exposure: Between -20% and +20%

Blur: Up to 1px

Noise: Up to 3% of pixels

Similar Projects

Annotations

Group: data-items

Paragraph

Table

Unused Classes

Attributes

411.jpg

416x416

0.17MP

Updated Oct 7, 54793

6:47PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 416x416

Grayscale

Applied

Flip

Horizontal

90° Rotate

Applied

Brightness

-16%

Exposure

12%

Blur

0.25px

Noise

Raw Data

Source Data

                            {
    "camera": "Generated by Roboflow",
    "datasets": [
        "2AmOCNeckGdEHtCaGcOj"
    ],
    "destination": "7f6779d105eb9d05a6a00519dea37a66",
    "height": 416,
    "id": "zLQXCpirRN4AwMcH1CT8",
    "label": [],
    "labels": [],
    "name": "411.jpg",
    "numSteps": 9,
    "owner": "l8Fooyq1k8OMlbSjfc4gDOLqvC42",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",416,416]",
        "grayscale",
        "flip:[\"horizontal\"]",
        "ninety:[-90]",
        "brightness:[-16]",
        "exposure:[12]",
        "blur:[0.25]",
        "noise:[2,565455]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "value": "Stretch to 416x416"
        },
        {
            "name": "Grayscale",
            "value": "Applied"
        },
        {
            "name": "Flip",
            "value": "Horizontal"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Brightness",
            "value": "-16%"
        },
        {
            "name": "Exposure",
            "value": "12%"
        },
        {
            "name": "Blur",
            "value": "0.25px"
        },
        {
            "name": "Noise",
            "value": "2%"
        }
    ],
    "source": "zLQXCpirRN4AwMcH1CT8",
    "split": "train",
    "split.2AmOCNeckGdEHtCaGcOj.2": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",416,416]\",\n    \"grayscale\",\n    \"flip:[\\\"horizontal\\\"]\",\n    \"ninety:[-90]\",\n    \"brightness:[-16]\",\n    \"exposure:[12]\",\n    \"blur:[0.25]\",\n    \"noise:[2,565455]\"\n]",
    "updated": 1666957085275,
    "updatedDate": "Oct 7, 54793",
    "updatedTime": "6:47PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "2AmOCNeckGdEHtCaGcOj/2"
    ],
    "width": 416
}

Annotation Data

{
    "boxes": [
        {
            "label": "Table",
            "x": 267,
            "y": 207.5,
            "width": 96,
            "height": 357
        },
        {
            "label": "Paragraph",
            "x": 209,
            "y": 206,
            "width": 12,
            "height": 354
        },
        {
            "label": "Paragraph",
            "x": 178.5,
            "y": 323.5,
            "width": 14,
            "height": 126
        },
        {
            "label": "Paragraph",
            "x": 156,
            "y": 367,
            "width": 12,
            "height": 36
        },
        {
            "label": "Paragraph",
            "x": 133,
            "y": 313.5,
            "width": 24,
            "height": 146
        },
        {
            "label": "Paragraph",
            "x": 156.5,
            "y": 176.5,
            "width": 12,
            "height": 37
        },
        {
            "label": "Paragraph",
            "x": 139,
            "y": 172.5,
            "width": 12,
            "height": 42
        },
        {
            "label": "Paragraph",
            "x": 105.5,
            "y": 79.5,
            "width": 13,
            "height": 42
        },
        {
            "label": "Paragraph",
            "x": 105.5,
            "y": 202,
            "width": 13,
            "height": 59
        },
        {
            "label": "Paragraph",
            "x": 105.5,
            "y": 349.5,
            "width": 13,
            "height": 76
        },
        {
            "label": "Paragraph",
            "x": 87,
            "y": 316,
            "width": 7,
            "height": 146
        },
        {
            "label": "Paragraph",
            "x": 371,
            "y": 100,
            "width": 7,
            "height": 50
        },
        {
            "label": "Paragraph",
            "x": 352.5,
            "y": 117.5,
            "width": 12,
            "height": 33
        },
        {
            "label": "Paragraph",
            "x": 352.5,
            "y": 61,
            "width": 11,
            "height": 24
        },
        {
            "label": "Paragraph",
            "x": 328.5,
            "y": 111,
            "width": 12,
            "height": 47
        },
        {
            "label": "Paragraph",
            "x": 328,
            "y": 178,
            "width": 12,
            "height": 36
        },
        {
            "label": "Paragraph",
            "x": 352.5,
            "y": 179,
            "width": 12,
            "height": 33
        },
        {
            "label": "Paragraph",
            "x": 346,
            "y": 296,
            "width": 26,
            "height": 180
        },
        {
            "label": "Paragraph",
            "x": 390.5,
            "y": 294.5,
            "width": 7,
            "height": 63
        },
        {
            "label": "Paragraph",
            "x": 370,
            "y": 351,
            "width": 9,
            "height": 76
        }
    ],
    "height": 416,
    "key": "411_jpg.rf.9f313ded3985469d9aa17f88ff455020.jpg",
    "width": 416
}

extract the structure of invoice

Dataset Versions

2022-10-28 5:07pm

Popular Download Formats

787 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Attributes

411.jpg

Updated Oct 7, 54793

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data