Dataset Versions
Versions
2024-06-21 11:15pm
v34
· 6 months ago
2024-06-20 9:29am
v33
· 6 months ago
2024-06-20 9:29am
v32
· 6 months ago
2024-06-20 9:29am
v31
· 6 months ago
2024-06-20 9:29am
v30
· 6 months ago
2024-06-20 9:29am
v29
· 6 months ago
2024-06-20 9:28am
v28
· 6 months ago
2024-06-20 9:28am
v27
· 6 months ago
2024-06-20 9:28am
v26
· 6 months ago
2024-06-20 9:28am
v25
· 6 months ago
2024-06-20 9:27am
v24
· 6 months ago
2024-06-20 9:27am
v23
· 6 months ago
2024-06-20 9:27am
v22
· 6 months ago
2024-06-06 8:23pm
v1
· 7 months ago
v32
2024-06-20 9:29am
Generated on Jun 20, 2024
960 Total Images
View All Images
Dataset Split
Train Set 88%
840Images
Valid Set 8%
80Images
Test Set 4%
40Images
Preprocessing
Auto-Orient: Applied
Static Crop: 0-90% Horizontal Region, 0-90% Vertical Region
Resize: Stretch to 1280x1280
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -30% and +30%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.62% of pixels