Preprocessing and augmentations Image Dataset
Versions
Noise - 0 to 0.6
v26
· 5 months ago
Noise - 0 to 0.4
v25
· 5 months ago
Noise - 0 to 0.2
v24
· 5 months ago
Blur - 0 to 5
v23
· 5 months ago
Blur - 0 to 4.5
v22
· 5 months ago
Blur - 0 to 4
v21
· 5 months ago
Blur - 0 to 3.5
v20
· 5 months ago
Blur - 0 to 3
v19
· 5 months ago
Blur - 0 to 2.5
v18
· 5 months ago
Blur - 0 to 2
v17
· 5 months ago
Blur - 0 to 1.5
v16
· 5 months ago
Blur - 0 to 1
v15
· 5 months ago
Blur - 0 to 0.5
v14
· 5 months ago
Brightness -25 to 25
v13
· 5 months ago
Brightness -15 to 15
v12
· 5 months ago
Brightness -5 to 5
v11
· 5 months ago
Brightness -30 to 30
v10
· 5 months ago
Brightness -20 to 20
v9
· 5 months ago
Brightness -10 to 10
v8
· 5 months ago
Flip
v7
· 5 months ago
Contrast - Histogram Equalization
v6
· 5 months ago
Contrast - Contrast Stretching
v5
· 5 months ago
Contrast - Adaptive Equalisation
v4
· 5 months ago
Grayscale
v3
· 5 months ago
Auto Orient
v2
· 5 months ago
Control
v1
· 5 months ago
v7
Flip
Generated on Jan 28, 2024
4563 Total Images
View All Images
Dataset Split
Train Set 80%
3665Images
Valid Set 13%
598Images
Test Set 7%
300Images
Preprocessing
No preprocessing steps were applied.
Augmentations
Outputs per training example: 2
Flip: Horizontal, Vertical
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