Dataset Versions
Versions
2024-08-19 7:05pm
v9
· 3 months ago
2024-05-15 11:53am
v8
· 6 months ago
2024-04-10 7:15am
v7
· 7 months ago
2024-03-17 6:59pm
v6
· 8 months ago
2023-05-28 6:37pm
v5
· a year ago
2023-05-28 6:28pm
v4
· a year ago
2023-05-25 12:54am
v3
· a year ago
2023-05-25 12:47am
v2
· a year ago
2023-05-24 5:12pm
v1
· a year ago
v5
2023-05-28 6:37pm
Generated on May 28, 2023
675 Total Images
View All Images
Dataset Split
Train Set 87%
588Images
Valid Set 8%
55Images
Test Set 5%
32Images
Preprocessing
Auto-Orient: Applied
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: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2.5px