Dataset Versions
v1
2024-08-10 10:31am
Generated on Aug 10, 2024
65 Total Images
View All ImagesDataset Split
Train Set 92%
60Images
Valid Set 8%
5Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 25% of images
Hue: Between -15° and +15°
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1.05% of pixels