Dataset Versions
v2
2023-10-04 11:10pm
Generated on Oct 4, 2023
1028 Total Images
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Dataset Split
Train Set 88%
900Images
Valid Set 8%
85Images
Test Set 4%
43Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 75% of images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -20° and +20°
Brightness: Between -33% and +33%