Dataset Versions
v2
potato
Generated on Jan 5, 2024
304 Total Images
View All Images
Dataset Split
Train Set 91%
276Images
Valid Set 7%
20Images
Test Set 3%
8Images
Preprocessing
Auto-Orient: Applied
Dynamic Crop: Class: 0
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels