Training models

beef recognizion

Classification

beef recognizion Image Dataset

v1

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Generated on May 15, 2024

Dataset Split

Train Set 89%
10532Images
Valid Set 6%
658Images
Test Set 6%
658Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640
Tile: 2 rows x 1 columns

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 10% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -45° and +45°
Meat-Freshness-Quality
3724 images
ML
meat
3724 images
Meat-Freshness-Quality
342 images
JRU
meat
49 images