AUGMENTLAB

Fig Leaf Detection

Classification

Fig Leaf Detection Image Dataset

v2

2024-02-25 8:42am

Generated on Feb 25, 2024

Dataset Split

Train Set 88%
6225Images
Valid Set 8%
593Images
Test Set 4%
296Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
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
healthy-infected-T0A3
2964 images
healthy-infected-gezy
2964 images
healthy-infected-vJvT
2964 images
fig
LAB
healthy-infected
2080 images
FIG
healthy-unhealthy
2321 images