Dataset Versions
Versions
without-aug-1024
v27
· a year ago
without-aug-256
v26
· a year ago
aug-256
v25
· a year ago
aug-1024
v24
· a year ago
2023-12-26 6:47am
v22
· a year ago
aug-640
v21
· a year ago
2023-12-26 6:40am
v20
· a year ago
without-aug-640
v17
· a year ago
with aug-preprocess and 7 classes
v3
· a year ago
with augmantation - preprocessing
v1
· a year ago
v25
aug-256
Generated on Jan 9, 2024
1812 Total Images
View All Images
Dataset Split
Train Set 87%
1584Images
Valid Set 13%
228Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 256x256
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -10% and +10%
Exposure: Between -15% and +15%
Noise: Up to 1.34% of pixels