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vegetation

Semantic Segmentation

vegetation Image Dataset

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Versions
2023-05-26 11:00am
v15
May 26, 2023
2023-05-26 10:07am
v14
May 26, 2023
2023-05-26 9:49am
v13
May 26, 2023
2023-03-29 11:56am
v12
Mar 29, 2023
2023-03-27 12:04pm
v11
Mar 27, 2023
2023-03-25 11:57am
v10
Mar 25, 2023
2023-03-25 9:54am
v9
Mar 25, 2023
2023-03-21 9:21am
v8
Mar 21, 2023
2023-02-28 3:20pm
v7
Feb 28, 2023
2023-01-25 1:36pm
v5
Jan 25, 2023
2023-01-03 5:58pm
v2
Jan 3, 2023
2023-01-03 5:48pm
v1
Jan 3, 2023
v7

2023-02-28 3:20pm

Generated on Feb 28, 2023
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2105 Total Images

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Dataset Split

Train Set 95%
2005Images
Valid Set 2%
50Images
Test Set 2%
50Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 5
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±7° Horizontal, ±10° Vertical
Hue: Between -24° and +24°
Brightness: Between -24% and +0%
Blur: Up to 10px
Noise: Up to 5% of pixels