Dataset Versions
Versions
2024-02-21 9:33am
v20
· 10 months ago
2024-02-21 9:32am
v19
· 10 months ago
2024-02-21 9:31am
v18
· 10 months ago
2024-02-21 9:31am
v17
· 10 months ago
2024-02-21 9:30am
v16
· 10 months ago
2024-02-21 9:29am
v15
· 10 months ago
2024-02-21 9:29am
v14
· 10 months ago
2024-02-13 5:20pm
v13
· 10 months ago
2024-02-07 6:12pm
v12
· a year ago
2024-02-07 6:10pm
v11
· a year ago
2024-02-07 6:09pm
v10
· a year ago
2024-02-07 6:04pm
v9
· a year ago
2024-02-06 3:14pm
v8
· a year ago
2024-02-06 3:11pm
v7
· a year ago
2024-02-06 3:10pm
v6
· a year ago
2024-02-06 10:11am
v5
· a year ago
2024-02-06 10:07am
v4
· a year ago
2024-02-05 4:39pm
v3
· a year ago
2024-01-30 6:42pm
v2
· a year ago
2024-01-29 8:15pm
v1
· a year ago
v7
2024-02-06 3:11pm
Generated on Feb 6, 2024
663 Total Images
View All Images
Dataset Split
Train Set 90%
600Images
Valid Set 6%
40Images
Test Set 3%
23Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±12° Horizontal, ±12° Vertical
Grayscale: Apply to 21% of images
Hue: Between -21° and +21°
Saturation: Between -31% and +31%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.73% of pixels