Dataset Versions
v1
2023-04-01 12:57pm
Generated on Apr 1, 2023
3062 Total Images
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Dataset Split
Train Set 87%
2673Images
Valid Set 8%
259Images
Test Set 4%
130Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 2 dropped
Filter Null: Require at least 90% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Exposure: Between -25% and +25%