Dataset Versions

v5

2024-08-23 2:48pm

Generated on Aug 23, 2024

Dataset Split

Train Set 89%
10476Images
Valid Set 8%
918Images
Test Set 4%
423Images

Preprocessing

Resize: Fit (black edges) in 640x640
Tile: 3 rows x 3 columns

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Shear: ±14° Horizontal, ±14° Vertical
Grayscale: Apply to 6% of images
Hue: Between -128° and +128°
Saturation: Between -33% and +33%
Brightness: Between -25% and +25%
Exposure: Between -27% and +27%
Blur: Up to 1.5px
Noise: Up to 2.28% of pixels
Bounding Box: Noise: Up to 0.04% of pixels

Similar Projects

See More