Dataset Versions
v9
2024-12-02 2:34pm
Generated on Dec 2, 2024
6689 Total Images
View All Images
Dataset Split
Train Set 99%
6643Images
Valid Set 0%
27Images
Test Set 0%
19Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 224x224
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 7
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -11° and +11°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Saturation: Between -19% and +19%
Brightness: Between -15% and +0%
Blur: Up to 0.8px
Noise: Up to 1.05% of pixels