Vehicle and human recognition Dataset

v29

2022-12-22 5:49pm

Generated on Dec 22, 2022

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Dataset Split

Train Set 76%
1602Images
Valid Set 11%
240Images
Test Set 12%
254Images

Preprocessing

Resize: Stretch to 640x640
Grayscale: Applied
Tile: 1 rows x 2 columns

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Hue: Between -10° and +10°
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Noise: Up to 1% of pixels
Cutout: 2 boxes with 2% size each