Dataset Versions
Versions
2022-12-15 6:34pm
v14
· 2 years ago
2022-12-14 10:51pm
v13
· 2 years ago
2022-12-14 6:26am
v12
· 2 years ago
2022-12-14 12:24am
v11
· 2 years ago
2022-12-13 8:31am
v10
· 2 years ago
2022-12-12 12:18pm
v9
· 2 years ago
2022-12-12 12:15pm
v8
· 2 years ago
2022-12-12 11:11am
v7
· 2 years ago
2022-12-12 9:16am
v6
· 2 years ago
2022-12-12 9:04am
v5
· 2 years ago
2022-12-11 12:38pm
v4
· 2 years ago
2022-12-11 1:12am
v1
· 2 years ago
v8
2022-12-12 12:15pm
Generated on Dec 12, 2022
1332 Total Images
View All Images
Dataset Split
Train Set 94%
1248Images
Valid Set 4%
47Images
Test Set 3%
37Images
Preprocessing
Auto-Orient: Applied
Resize: Fit (black edges) in 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 5% Minimum Zoom, 15% Maximum Zoom
Grayscale: Apply to 45% of images
Hue: Between -25° and +25°
Saturation: Between -35% and +35%
Brightness: Between -20% and +20%
Exposure: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 1% of pixels