rover Dataset
Versions
2023-02-11 12:01pm
v18
· 2 years ago
2023-02-10 12:01pm
v17
· 2 years ago
2023-02-09 3:04pm
v16
· 2 years ago
2023-02-06 11:23am
v15
· 2 years ago
2023-02-05 5:19pm
v14
· 2 years ago
2023-02-02 3:31pm
v13
· 2 years ago
2023-01-31 4:52pm
v12
· 2 years ago
2023-01-31 12:27pm
v11
· 2 years ago
2023-01-30 9:15am
v10
· 2 years ago
2023-01-27 10:35am
v8
· 2 years ago
2023-01-25 4:35pm
v4
· 2 years ago
2023-01-23 11:05am
v3
· 2 years ago
2023-01-21 9:35am
v2
· 2 years ago
2023-01-20 12:00pm
v1
· 2 years ago
v14
2023-02-05 5:19pm
Generated on Feb 5, 2023
498 Total Images
View All Images
Dataset Split
Train Set 100%
498Images
Valid Set %
0Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 13-86% Horizontal Region, 13-86% Vertical Region
Resize: Stretch to 2048x2048
Auto-Adjust Contrast: Using Contrast Stretching
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -17° and +17°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -40% and +40%
Brightness: Between -30% and +30%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 1% of pixels