Dataset Versions

v3

2023-06-13 9:26pm

Generated on Jun 13, 2023

Dataset Split

Train Set 92%
2313Images
Valid Set 4%
101Images
Test Set 4%
101Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1080x720

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -3% and +3%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Final iteration
Annotate
download-11-.jpeg
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train
Labels
Attributes
Raw Data

Annotations

Group:
gs

CLASSES

LAYERS

 
inf
2

Unused Classes

gs

Tags

No Tags Applied
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Attributes

download-11-.jpeg

1080x720
0.78MP

Updated Jun 13, 2023

3:57PM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Resize Stretch to 1080x720
Flip Horizontal
90° Rotate Applied
Rotation
Shear X: -5°
Y: -3°
Saturation 8%
Brightness 4%
Exposure 2%
Blur 0.5px
Noise 0.75%

Annotation History

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Raw Data

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    "label": [],
    "labels": [],
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    "numSteps": 11,
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        {
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        },
        {
            "name": "Rotation",
            "value": "0°"
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        {
            "name": "Shear",
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        {
            "name": "Saturation",
            "value": "8%"
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        {
            "name": "Brightness",
            "value": "4%"
        },
        {
            "name": "Exposure",
            "value": "2%"
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        {
            "name": "Blur",
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    "updatedTime": "3:57PM",
    "updatedTimezone": "+00:00",
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