Dataset Versions
v2
ArjunV1
Generated on Aug 7, 2024
284 Total Images
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Dataset Split
Train Set 88%
249Images
Valid Set 8%
24Images
Test Set 4%
11Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal
Brightness: Between -15% and +15%
Exposure: Between -1% and +1%
Noise: Up to 0.5% of pixels