Beijing University of Posts and Telecommunications

rect_vase_detect

Object Detection

rect_vase_detect Image Dataset

v3

2023-10-05 12:30pm

Generated on Oct 5, 2023

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Dataset Split

Train Set 87%
531Images
Valid Set 8%
51Images
Test Set 4%
26Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 25% of images
Saturation: Between -48% and +48%
Brightness: Between -25% and +25%
Noise: Up to 5% of pixels