Dataset Versions
v1
2024-01-29 7:59pm
Generated on Jan 30, 2024
1236 Total Images
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Dataset Split
Train Set 88%
1083Images
Valid Set 8%
102Images
Test Set 4%
51Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x384
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Hue: Between -11° and +11°
Brightness: Between -7% and +7%
Exposure: Between -10% and +10%
Blur: Up to 1.8px
Noise: Up to 1.71% of pixels
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