Dataset Versions
v2
2024-10-27 5:59pm
Generated on Oct 27, 2024
1705 Total Images
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Dataset Split
Train Set 96%
1632Images
Valid Set 3%
49Images
Test Set 1%
24Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require at least 65% of images to contain annotations.
Augmentations
Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Cutout: 4 boxes with 8% size each