Dataset Versions
Versions
2023-12-01 5:02pm
v11
· a year ago
2023-12-01 4:53pm
v10
· a year ago
2023-12-01 4:53pm
v9
· a year ago
2023-12-01 4:52pm
v8
· a year ago
2023-12-01 4:52pm
v7
· a year ago
2023-12-01 4:52pm
v6
· a year ago
2023-12-01 4:52pm
v5
· a year ago
2023-12-01 4:52pm
v4
· a year ago
2023-12-01 4:52pm
v3
· a year ago
2023-12-01 4:52pm
v2
· a year ago
2023-12-01 4:52pm
v1
· a year ago
v11
2023-12-01 5:02pm
Generated on Dec 1, 2023
33 Total Images
View All Images
Dataset Split
Train Set 100%
33Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -3° and +3°
Shear: ±3° Horizontal, ±3° Vertical
Grayscale: Apply to 20% of images
Hue: Between -15° and +15°
Saturation: Between -10% and +10%
Brightness: Between -5% and +5%
Exposure: Between -2% and +2%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Cutout: 1 boxes with 1% size each