Dataset Versions
Versions
2024-06-13 4:11am
v18
· 5 months ago
2024-06-04 5:33pm
v17
· 6 months ago
2024-06-04 5:31pm
v16
· 6 months ago
2024-06-03 10:44am
v15
· 6 months ago
2024-06-03 10:38am
v14
· 6 months ago
2024-06-03 10:34am
v13
· 6 months ago
2024-05-15 11:16am
v12
· 6 months ago
2024-05-14 8:12pm
v11
· 6 months ago
2024-04-30 2:18pm
v10
· 7 months ago
2024-04-19 5:07am
v9
· 7 months ago
2024-04-19 4:17am
v8
· 7 months ago
2024-04-17 1:42am
v7
· 7 months ago
2024-03-12 6:21pm
v2
· 8 months ago
2024-03-12 5:17pm
v1
· 8 months ago
v8
2024-04-19 4:17am
Generated on Apr 18, 2024
2395 Total Images
View All Images
Dataset Split
Train Set 88%
2097Images
Valid Set 8%
200Images
Test Set 4%
98Images
Preprocessing
Auto-Orient: Applied
Isolate Objects: Applied
Resize: Stretch to 160x160
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Hue: Between -58° and +58°
Saturation: Between -32% and +32%
Brightness: Between -22% and +22%
Exposure: Between -5% and +5%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels
Cutout: 3 boxes with 10% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -15% and +15%
Bounding Box: Exposure: Between -54% and +54%
Bounding Box: Noise: Up to 0.1% of pixels