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Money detection for blind peoples

Object Detection

Dataset Versions

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finalversion

Generated on Mar 25, 2023

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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.

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544 Total Images

View All Images

Dataset Split

Train Set 85%

462Images

Valid Set 12%

64Images

Test Set 3%

18Images

Preprocessing

Auto-Orient: Applied

Resize: Stretch to 640x640

Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3

Flip: Horizontal

90° Rotate: Clockwise, Counter-Clockwise

Rotation: Between -15° and +15°

Saturation: Between -25% and +25%

Brightness: Between -25% and +25%

Exposure: Between -25% and +25%

Noise: Up to 5% of pixels

Bounding Box: Rotation: Between -15° and +15°

Similar Projects

Annotations

Group:

Money-Detection

45.jpg

640x640

0.41MP

Updated Apr 4, 55199

6:42PM

GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient

Applied

Resize

Stretch to 640x640

Auto-Adjust Contrast

Adaptive Equalization

Rotation

Applied Per Bounding Box

90° Rotate

Applied

Rotation

5°

Saturation

-21%

Brightness

-14%

Exposure

-6%

Noise

1.75%

Raw Data

Source Data

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    "height": 640,
    "id": "wVVrM9djoSMAO9KqdJKc",
    "label": [],
    "labels": [],
    "name": "45.jpg",
    "numSteps": 10,
    "owner": "fYFK9kTW3LmIFkLbt3S7",
    "preprocessing": [
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        "resize:[\"Stretch to\",640,640]",
        "auto-contrast:[\"Adaptive Equalization\"]",
        "rotate:[[-3],[5],[0],[10],[-14],[2]]",
        "ninety:[-90]",
        "rotate:[5]",
        "saturation:[-21]",
        "brightness:[-14]",
        "exposure:[-6]",
        "noise:[1.75,684419]"
    ],
    "preprocessingParsed": [
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            "value": "Applied"
        },
        {
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            "value": "Stretch to 640x640"
        },
        {
            "name": "Auto-Adjust Contrast",
            "value": "Adaptive Equalization"
        },
        {
            "name": "Rotation",
            "value": "Applied Per Bounding Box"
        },
        {
            "name": "90° Rotate",
            "value": "Applied"
        },
        {
            "name": "Rotation",
            "value": "5°"
        },
        {
            "name": "Saturation",
            "value": "-21%"
        },
        {
            "name": "Brightness",
            "value": "-14%"
        },
        {
            "name": "Exposure",
            "value": "-6%"
        },
        {
            "name": "Noise",
            "value": "1.75%"
        }
    ],
    "source": "wVVrM9djoSMAO9KqdJKc",
    "split": "train",
    "split.eiya11XfkiOEoGHRcTvl.4": "train",
    "status": "generated",
    "transforms": "[\n    \"auto-orient\",\n    \"resize:[\\\"Stretch to\\\",640,640]\",\n    \"auto-contrast:[\\\"Adaptive Equalization\\\"]\",\n    \"rotate:[[-3],[5],[0],[10],[-14],[2]]\",\n    \"ninety:[-90]\",\n    \"rotate:[5]\",\n    \"saturation:[-21]\",\n    \"brightness:[-14]\",\n    \"exposure:[-6]\",\n    \"noise:[1.75,684419]\"\n]",
    "updated": 1679753097772,
    "updatedDate": "Apr 4, 55199",
    "updatedTime": "6:42PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "eiya11XfkiOEoGHRcTvl/4"
    ],
    "width": 640
}

Annotation Data

{
    "boxes": [
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            "type": "polygon",
            "label": "line",
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                ],
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                ],
                [
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                ],
                [
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                ]
            ]
        },
        {
            "type": "polygon",
            "label": "serialno",
            "x": 443.616782,
            "y": 117.412452,
            "width": 99.31293400000004,
            "height": 177.094362,
            "points": [
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                ],
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                ],
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                ],
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            ]
        },
        {
            "type": "polygon",
            "label": "serialno",
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                ],
                [
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                ],
                [
                    57.165436,
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                ]
            ]
        },
        {
            "label": "ashoka",
            "x": 224.5,
            "y": 591,
            "width": 180,
            "height": 80
        },
        {
            "type": "polygon",
            "label": "MG",
            "x": 261.333731,
            "y": 231.6813805,
            "width": 389.19431399999996,
            "height": 209.878365,
            "points": [
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        },
        {
            "label": "bank",
            "x": 566,
            "y": 432.5,
            "width": 80,
            "height": 219
        }
    ],
    "height": 640,
    "key": "45.jpg",
    "width": 640
}

Money detection for blind peoples

Dataset Versions

finalversion

Popular Download Formats

544 Total Images

Dataset Split

Preprocessing

Augmentations

Similar Projects

Annotations

Unused Classes

Tags

Attributes

45.jpg

Updated Apr 4, 55199

Generated by Roboflow

Training Set

Transforms

Annotation History

Raw Data

Source Data

Annotation Data