Dataset Versions
Versions
2023-12-06 1:10pm
v10
· a year ago
2023-12-06 1:10pm
v9
· a year ago
2023-12-06 1:10pm
v8
· a year ago
2023-12-06 1:10pm
v7
· a year ago
2023-12-06 1:10pm
v6
· a year ago
2023-12-06 1:10pm
v5
· a year ago
2023-12-06 1:10pm
v4
· a year ago
2023-12-06 1:10pm
v3
· a year ago
2023-12-06 1:10pm
v2
· a year ago
2023-12-06 1:10pm
v1
· a year ago
v2
2023-12-06 1:10pm
Generated on Dec 6, 2023
60 Total Images
View All Images
Dataset Split
Train Set 100%
60Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -1° and +1°
Shear: ±2° Horizontal, ±1° Vertical
Grayscale: Apply to 2% of images
Hue: Between -10° and +10°
Saturation: Between -10% and +10%
Brightness: Between -3% and +3%
Exposure: Between -3% and +3%
Blur: Up to 0.25px
Noise: Up to 1% of pixels