TORO_mask_rcnn Dataset

v2

toro_20_10

Generated on Oct 20, 2021

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Dataset Split

Train Set 88%
345Images
Valid Set 8%
33Images
Test Set 4%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Grayscale: Apply to 50% of images
Saturation: Between -50% and +50%
Exposure: Between -19% and +19%

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