Dataset Versions
v2
2024-10-30 4:00am
Generated on Oct 30, 2024
11596 Total Images
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Dataset Split
Train Set 90%
10476Images
Valid Set 6%
746Images
Test Set 3%
374Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 4
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1% of pixels