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
v4
2023-01-25 4:35pm
Generated on Jan 25, 2023
1700 Total Images
View All Images
Dataset Split
Train Set 99%
1680Images
Valid Set %
0Images
Test Set 1%
20Images
Preprocessing
Auto-Orient: Applied
Static Crop: 27-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%