Hammer_classification_v3 Dataset
Versions
v1
2024-09-13 10:40am
Generated on Sep 13, 2024
3116 Total Images
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Dataset Split
Train Set 87%
2721Images
Valid Set 8%
260Images
Test Set 4%
135Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 15% of images
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.1% of pixels