poultarypro Computer Vision Model
394 Total Images
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Dataset Split
Train Set 88%
345Images
Valid Set 8%
33Images
Test Set 4%
16Images
Preprocessing
Auto-Orient: Applied
Resize: Stretch to 640x640
Augmentations
Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Grayscale: Apply to 15% of images
Exposure: Between -10% and +10%
Noise: Up to 0.1% of pixels