lab Image Dataset
Versions
2022-11-23 5:24pm
v10
Nov 23, 2022
2022-11-23 5:23pm
v9
Nov 23, 2022
2022-11-15 12:37pm
v8
Nov 15, 2022
2022-10-11 2:04pm
v7
Oct 11, 2022
2022-09-26 4:59pm
v6
Sep 26, 2022
2022-09-25 3:44am
v5
Sep 24, 2022
2022-09-24 5:00am
v4
Sep 23, 2022
2022-09-23 9:47pm
v3
Sep 23, 2022
2022-09-23 11:53am
v2
Sep 23, 2022
2022-09-22 11:01pm
v1
Sep 22, 2022
v10
2022-11-23 5:24pm
Generated on Nov 23, 2022
821 Total Images
View All Images
Dataset Split
Train Set 96%
792Images
Valid Set 4%
29Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 550x550
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require all images to contain annotations.
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±12° Horizontal, ±6° Vertical
Hue: Between -31° and +31°
Saturation: Between -6% and +6%
Brightness: Between -30% and +30%
Blur: Up to 1.5px
Noise: Up to 4% of pixels
Cutout: 7 boxes with 3% size each
Bounding Box: Exposure: Between -13% and +13%
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