ML

InvertedUpright

Classification

InvertedUpright Image Dataset

v1

2024-06-19 5:04am

Generated on Jun 19, 2024

Dataset Split

Train Set 88%
2100Images
Valid Set 8%
199Images
Test Set 4%
98Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Brightness: Between -15% and +15%
Exposure: Between -10% and +10%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels