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
v10
2023-01-27 11:34am
Generated on Jan 27, 2023
1280 Total Images
View All Images
Dataset Split
Train Set 86%
1098Images
Valid Set 7%
93Images
Test Set 7%
89Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 0 remapped, 0 dropped
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -30° and +30°
Grayscale: Apply to 18% of images
Hue: Between -148° and +148°
Saturation: Between -66% and +66%
Brightness: Between -30% and +30%
Blur: Up to 1.25px
Noise: Up to 3% of pixels
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise