Dataset Versions
v5
2024-08-26 8:04am
Generated on Aug 26, 2024
93 Total Images
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Dataset Split
Train Set 88%
82Images
Valid Set 5%
5Images
Test Set 6%
6Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 60% 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: ±10° Horizontal, ±10° Vertical