tez Dataset
Versions
v1
2024-06-06 7:46pm
Generated on Jun 6, 2024
481 Total Images
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Dataset Split
Train Set 82%
393Images
Valid Set 14%
66Images
Test Set 5%
22Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Grayscale: Apply to 15% of images
Hue: Between -6° and +6°
Brightness: Between -15% and +15%
Blur: Up to 2.9px