Dataset Versions
Versions
2024-05-31 6:38pm
v12
· 9 months ago
2024-05-31 6:14pm
v11
· 9 months ago
2024-05-30 5:28am
v10
· 9 months ago
2024-05-30 5:26am
v9
· 9 months ago
2024-05-30 5:22am
v8
· 9 months ago
2024-05-30 5:19am
v7
· 9 months ago
2024-05-30 5:17am
v6
· 9 months ago
2024-05-30 5:13am
v5
· 9 months ago
2024-05-30 5:10am
v4
· 9 months ago
2024-05-30 5:08am
v3
· 9 months ago
2024-05-30 5:05am
v2
· 9 months ago
2024-05-30 4:57am
v1
· 9 months ago
v1
2024-05-30 4:57am
Generated on May 30, 2024
270 Total Images
View All Images
Dataset Split
Train Set 92%
249Images
Valid Set 4%
10Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±14° Horizontal, ±14° Vertical
Grayscale: Apply to 10% of images
Hue: Between -20° and +20°
Saturation: Between -25% and +25%
Brightness: Between -10% and +10%
Cutout: 3 boxes with 12% size each
Bounding Box: Crop: 0% Minimum Zoom, 25% Maximum Zoom