Dataset Versions
Versions
2024-03-20 6:56pm
v17
· 8 months ago
2024-03-20 4:07pm
v16
· 8 months ago
2024-03-20 3-58pm
v15
· 8 months ago
2024-03-10 2:46pm
v14
· 8 months ago
2024-03-10 2:44pm
v13
· 8 months ago
2024-03-09 7:14pm
v12
· 8 months ago
2024-03-03 8:47pm
v11
· 8 months ago
2024-03-01 12:59pm
v10
· 8 months ago
2024-02-29 11:24am
v9
· 8 months ago
2024-02-28 4:45pm
v8
· 8 months ago
2024-02-27 3:34pm
v7
· 8 months ago
v15
2024-03-20 3-58pm
Generated on Mar 20, 2024
3800 Total Images
View All Images
Dataset Split
Train Set 92%
3483Images
Valid Set 8%
308Images
Test Set 0%
9Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
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
Grayscale: Apply to 15% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 1.99% of pixels