Dataset Versions
v3
2024-09-21 12:48pm
Generated on Sep 21, 2024
2248 Total Images
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Dataset Split
Train Set 88%
1972Images
Valid Set 8%
180Images
Test Set 4%
96Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 63% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -14° and +14°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -18% and +18%