Dataset Versions

v4

finalversion

Generated on Mar 25, 2023

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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°

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Money detection for blind peoples
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Labels
Attributes
Raw Data

Annotations

Group:
Money-Detection

Classes

Layers

 
MG
1
 
ashoka
1
 
bank
1
 
line
1
 
serialno
2

Unused Classes

declaration

Tags

No Tags Applied
Type and select tags below to add them to the image.

Attributes

87.jpg

640x640
0.41MP

Updated Apr 4, 55199

8:54PM
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 -3°
Saturation 6%
Brightness 5%
Exposure -7%
Noise 1.25%

Annotation History

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Raw Data

Source Data

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    "destination": "0584a2b48a09c84124a274a0c6f20693",
    "height": 640,
    "id": "4v1pz0zmJuSg8GxlYiB5",
    "label": [],
    "labels": [],
    "name": "87.jpg",
    "numSteps": 10,
    "owner": "fYFK9kTW3LmIFkLbt3S7",
    "preprocessing": [
        "auto-orient",
        "resize:[\"Stretch to\",640,640]",
        "auto-contrast:[\"Adaptive Equalization\"]",
        "rotate:[[-6],[-10],[9],[-3],[-6],[-10]]",
        "ninety:[-90]",
        "rotate:[-3]",
        "saturation:[6]",
        "brightness:[5]",
        "exposure:[-7]",
        "noise:[1.25,405411]"
    ],
    "preprocessingParsed": [
        {
            "name": "Auto-Orient",
            "value": "Applied"
        },
        {
            "name": "Resize",
            "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": "-3°"
        },
        {
            "name": "Saturation",
            "value": "6%"
        },
        {
            "name": "Brightness",
            "value": "5%"
        },
        {
            "name": "Exposure",
            "value": "-7%"
        },
        {
            "name": "Noise",
            "value": "1.25%"
        }
    ],
    "source": "4v1pz0zmJuSg8GxlYiB5",
    "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:[[-6],[-10],[9],[-3],[-6],[-10]]\",\n    \"ninety:[-90]\",\n    \"rotate:[-3]\",\n    \"saturation:[6]\",\n    \"brightness:[5]\",\n    \"exposure:[-7]\",\n    \"noise:[1.25,405411]\"\n]",
    "updated": 1679753105678,
    "updatedDate": "Apr 4, 55199",
    "updatedTime": "8:54PM",
    "updatedTimezone": "+00:00",
    "versions": [
        "eiya11XfkiOEoGHRcTvl/4"
    ],
    "width": 640
}
                            
                            

Annotation Data

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}
                                

                                

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