Dataset Versions
Versions
2023-04-26 10:02am
v17
· 2 years ago
2022-12-25 3:29am
v16
· 2 years ago
2022-11-22 6:42pm
v15
· 2 years ago
2022-11-22 6:29pm
v14
· 2 years ago
2022-11-22 6:20pm
v13
· 2 years ago
2022-11-21 6:54pm
v12
· 2 years ago
2022-11-18 6:21pm
v11
· 2 years ago
2022-11-18 5:59pm
v10
· 2 years ago
2022-11-18 5:55pm
v9
· 2 years ago
2022-11-18 4:36pm
v8
· 2 years ago
2022-11-13 3:48am
v7
· 2 years ago
2022-11-08 4:56pm
v6
· 2 years ago
2022-11-08 4:53pm
v5
· 2 years ago
2022-11-06 8:06pm
v4
· 2 years ago
2022-11-05 10:42am
v3
· 2 years ago
2022-11-04 7:45pm
v2
· 2 years ago
2022-11-04 4:26pm
v1
· 2 years ago
v16
2022-12-25 3:29am
Generated on Dec 24, 2022
1992 Total Images
View All Images
Dataset Split
Train Set 97%
1923Images
Valid Set 3%
59Images
Test Set 1%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Modify Classes: 0 remapped, 1 dropped
Filter Null: Do not filter any null images.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -10° and +10°
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels