Dataset

Detect_Tray_3

Object Detection

Detect_Tray_3 Image Dataset

v10

2024-06-25 6:50am

Generated on Jun 25, 2024

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Dataset Split

Train Set 91%
576Images
Valid Set 7%
44Images
Test Set 2%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1440x1440
Tile: 2 rows x 2 columns

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 -3° and +3°
Shear: ±2° Horizontal, ±2° Vertical
Grayscale: Apply to 10% of images
Brightness: Between -5% and +5%
Exposure: Between -5% and +5%