Bee_detection Computer Vision Model
677 Total Images
View All ImagesDataset Split
Train Set 82%
558Images
Valid Set 11%
75Images
Test Set 7%
44Images
Preprocessing
Auto-Orient: Applied
Resize: Fit within 312x312
Auto-Adjust Contrast: Using Adaptive Equalization
Augmentations
Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±10° Horizontal, ±6° Vertical
Hue: Between -5° and +5°
Saturation: Between -20% and +20%
Brightness: Between -14% and +14%
Exposure: Between -3% and +3%
Blur: Up to 3px
Noise: Up to 1.96% of pixels