Dataset Versions
Versions
2023-03-27 4:43am
v15
· 2 years ago
2023-02-09 12:09pm
v14
· 2 years ago
2023-02-06 4:03pm
v13
· 2 years ago
2023-02-04 9:49am
v12
· 2 years ago
2023-01-30 12:15pm
v11
· 2 years ago
2023-01-27 11:34am
v10
· 2 years ago
2023-01-11 5:19pm
v9
· 2 years ago
2023-01-09 5:46pm
v8
· 2 years ago
2023-01-09 10:02am
v7
· 2 years ago
2023-01-06 12:24pm
v6
· 2 years ago
2023-01-06 10:24am
v5
· 2 years ago
2023-01-06 10:12am
v4
· 2 years ago
2023-01-06 10:00am
v3
· 2 years ago
2023-01-04 3:45pm
v2
· 2 years ago
2023-01-04 2:03pm
v1
· 2 years ago
v2
2023-01-04 3:45pm
Generated on Jan 4, 2023
544 Total Images
View All Images
Dataset Split
Train Set 86%
468Images
Valid Set 7%
40Images
Test Set 7%
36Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 1280x1280
Tile: 1 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -14° and +14°
Grayscale: Apply to 23% of images
Hue: Between -148° and +148°
Saturation: Between -81% and +81%
Brightness: Between -27% and +27%
Blur: Up to 2px
Noise: Up to 9% of pixels
Mosaic: Applied
Bounding Box: Flip: Horizontal
Bounding Box: Shear: ±7° Horizontal, ±8° Vertical