Dataset Versions
v4
2024-09-09 12:07pm
Generated on Sep 9, 2024
4707 Total Images
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Dataset Split
Train Set 92%
4320Images
Valid Set 6%
273Images
Test Set 2%
114Images
Preprocessing
Resize: Stretch to 320x320
Grayscale: Applied
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%