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tomato_seg

Instance Segmentation

tomato_seg Image Dataset

Versions
2024-02-01 12:23am
v1
Jan 31, 2024
v1

2024-02-01 12:23am

Generated on Jan 31, 2024
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144 Total Images

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Dataset Split

Train Set 100%
144Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 4 rows x 4 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -24° and +24°
Saturation: Between -31% and +31%
Brightness: Between -23% and +23%
Exposure: Between -11% and +11%
Blur: Up to 2.7px
Noise: Up to 1.68% of pixels