Strawberry Fruit and Leaf Ripeness and Disease

Object Detection

Dataset Versions

v12

2024-05-24 5:36pm

Generated on May 24, 2024

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Dataset Split

Train Set 82%
7562Images
Valid Set 12%
1084Images
Test Set 6%
530Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region

Augmentations

Outputs per training example: 2
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°

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Strawberry Fruit and Leaf Ripeness and Disease
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Labels
Attributes
Raw Data

Annotations

Group:
Strawberry-fruit-and-leaf

Classes

Layers

 
Green-Strawberry
1
 
Red-Turning
1
 
White-Strawberry
1

Unused Classes

Angular Leafspot
Anthracnose Fruit Rot
Early-Turning
Gray Mold
Late-Turning
Leaf Spot
Powdery Mildew Fruit
Powdery Mildew Leaf
Turning

Tags

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

Attributes

315.png

504x378
0.19MP

Updated Feb 4, 56365

5:51AM
GMT+00:00

Generated by Roboflow

Training Set

Transforms

Auto-Orient Applied
Static Crop X: 25% to 75%
Y: 25% to 75%
90° Rotate Applied
Rotation 43°

Annotation History

Loading...

Raw Data

Source Data

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        {
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    "status": "generated",
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    "updatedDate": "Feb 4, 56365",
    "updatedTime": "5:51AM",
    "updatedTimezone": "+00:00",
    "versions": [
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    ],
    "width": 504
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Annotation Data

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}
                                

                                

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