Dataset Versions
Versions
2024-11-29 10:37am
v10
· 20 days ago
2024-11-29 10:29am
v8
· 20 days ago
2024-11-29 10:25am
v7
· 20 days ago
2024-11-29 10:13am
v6
· 20 days ago
2024-11-29 10:11am
v5
· 20 days ago
2024-11-29 10:09am
v4
· 20 days ago
2024-11-29 10:05am
v3
· 20 days ago
2024-11-26 2:37pm
v2
· 23 days ago
2024-11-26 2:16pm
v1
· 23 days ago
v7
2024-11-29 10:25am
Generated on Nov 29, 2024
1104 Total Images
View All Images
Dataset Split
Train Set 96%
1056Images
Valid Set 3%
29Images
Test Set 2%
19Images
Preprocessing
Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied
Augmentations
Outputs per training example: 3
Shear: ±3° Horizontal, ±9° Vertical
Hue: Between -102° and +102°
Noise: Up to 3.94% of pixels
Cutout: 3 boxes with 10% size each