My First Project Computer Vision Model
1099 Total Images
View All Images
Dataset Split
Train Set 93%
1024Images
Valid Set 3%
36Images
Test Set 4%
40Images
Preprocessing
Tile: 2 rows x 2 columns
Auto-Orient: Applied
Isolate Objects: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Do not filter any null images.
Augmentations
Outputs per training example: 2
Flip: Horizontal
90° Rotate: Applied
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -25% and +25%
Blur: Up to 2px
Noise: Up to 5% of pixels
Cutout: 5 boxes with 10% size each
Mosaic: Applied
Motion Blur: Length 100px, Angle: 0°, Frames: 1
Camera Gain: Variance: 0.05