Dataset Versions
v3
2024-04-19 10:55am
Generated on Apr 19, 2024
544 Total Images
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Dataset Split
Train Set 81%
438Images
Valid Set 19%
106Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all 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°
Brightness: Between -17% and +17%
Exposure: Between -14% and +14%
Blur: Up to 2.5px
Noise: Up to 0.46% of pixels