Dataset Versions
v4
new100-test
Generated on Sep 7, 2024
240 Total Images
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Dataset Split
Train Set 88%
210Images
Valid Set 13%
30Images
Test Set %
0Images
Preprocessing
Auto-Orient: Applied
Static Crop: 30-70% Horizontal Region, 20-80% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1.5px
Noise: Up to 1.01% of pixels