Dataset Versions

Versions
2023-05-18 10:10pm
v15
·
a year ago
2023-05-03 1:01pm
v14
·
2 years ago
2023-05-03 7:24am
v13
·
2 years ago
2023-05-02 7:34pm
v12
·
2 years ago
2023-05-02 12:10pm
v11
·
2 years ago
2023-05-02 10:49am
v10
·
2 years ago
2023-04-29 2:22pm
v9
·
2 years ago
2023-04-29 2:01pm
v8
·
2 years ago
2023-04-29 1:08pm
v7
·
2 years ago
2023-04-29 11:11am
v6
·
2 years ago
2023-04-29 10:49am
v5
·
2 years ago
2023-04-29 9:48am
v3
·
2 years ago
2023-04-28 7:20pm
v2
·
2 years ago
2023-04-28 6:45pm
v1
·
2 years ago
v6

2023-04-29 11:11am

Generated on Apr 29, 2023
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54 Total Images

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Dataset Split

Train Set 78%
42Images
Valid Set 17%
9Images
Test Set 6%
3Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 11% of images
Hue: Between -25° and +25°
Saturation: Between -30% and +30%
Exposure: Between -25% and +25%
Blur: Up to 3.25px
Noise: Up to 5% of pixels

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