Dataset Versions
v5
2024-04-29 4:41pm
Generated on Apr 29, 2024
838 Total Images
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Dataset Split
Train Set 90%
753Images
Valid Set 7%
56Images
Test Set 3%
29Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 512x512
Tile: 4 rows x 6 columns
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -10% and +10%