Dataset Versions
Versions
2024-07-01 11:19am
v15
· 5 months ago
2024-07-01 9:37am
v14
· 5 months ago
2024-06-25 7:55am
v13
· 5 months ago
2024-06-24 12:21pm
v12
· 5 months ago
2024-06-18 10:50am
v11
· 5 months ago
2024-06-18 10:36am
v10
· 5 months ago
2024-06-17 9:04am
v9
· 5 months ago
2024-06-17 9:04am
v8
· 5 months ago
2024-05-15 12:41pm
v7
· 6 months ago
2024-05-13 4:44pm
v6
· 6 months ago
2024-05-09 8:30pm
v5
· 7 months ago
2024-05-09 3:25pm
v4
· 7 months ago
2024-05-07 2:01pm
v3
· 7 months ago
2024-05-03 1:14pm
v2
· 7 months ago
2024-05-02 1:02pm
v1
· 7 months ago
v2
2024-05-03 1:14pm
Generated on May 3, 2024
80 Total Images
View All Images
Dataset Split
Train Set 90%
72Images
Valid Set 5%
4Images
Test Set 5%
4Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 800x800
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied
Tile: 2 rows x 2 columns
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Noise: Up to 0.1% of pixels