Korea University

Project

Object Detection

Project Image Dataset

v12

2022-09-20 11:38pm

Generated on Sep 20, 2022

Popular Download Formats

Dataset Split

Train Set 100%
6621Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -9° and +9°
Shear: ±9° Horizontal, ±9° Vertical
Grayscale: Apply to 25% of images
Hue: Between -30° and +30°
Saturation: Between -30% and +30%
Brightness: Between -15% and +15%
Exposure: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 3% of pixels