Dataset Versions
Versions
v1
2024-06-13 1:17pm
Generated on
Jun 13, 2024
81 Total Images
View All ImagesDataset Split
Train
Set
93%
75Images
Valid
Set
5%
4Images
Test
Set
2%
2Images
Preprocessing
Auto-Orient:
Applied
Resize:
Stretch to 1024x1024
Auto-Adjust Contrast:
Using Adaptive Equalization
Filter Null:
Require at least 66% of images to contain annotations.
Augmentations
Outputs per training example:
5
Flip:
Horizontal
Grayscale:
Apply to 15% of images
Hue:
Between -15° and +15°
Saturation:
Between -25% and +25%
Brightness:
Between -15% and +15%
Exposure:
Between -10% and +10%
Blur:
Up to 2.5px