Dataset Versions
Versions
2024-11-29 7:10am
v9
· 24 days ago
2024-11-29 7:07am
v8
· 24 days ago
2024-11-28 11:06pm
v7
· 24 days ago
2024-11-28 3:37pm
v6
· 25 days ago
2024-11-24 12:07am
v5
· a month ago
2024-11-22 7:10am
v4
· a month ago
2024-11-20 12:46pm
v3
· a month ago
2024-11-20 9:33am
v2
· a month ago
2024-11-13 9:19pm
v1
· a month ago
v2
2024-11-20 9:33am
Generated on Nov 20, 2024
48 Total Images
View All Images
Dataset Split
Train Set 100%
48Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 1.9px
Noise: Up to 1.21% of pixels
Bounding Box: Rotation: Between -15° and +15°