jmnh1@alu.ua.es

cinta

Object Detection

cinta Image Dataset

v2

prueba 2

Generated on Mar 11, 2022

Popular Download Formats

Dataset Split

Train Set 88%
180Images
Valid Set 9%
18Images
Test Set 3%
7Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -25° and +25°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -50% and +50%
Brightness: Between -41% and +41%
Exposure: Between -31% and +31%
Blur: Up to 4px
Cutout: 25 boxes with 8% size each
Mosaic: Applied
Bounding Box: Flip: Horizontal, Vertical
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Bounding Box: Crop: 0% Minimum Zoom, 50% Maximum Zoom
Bounding Box: Rotation: Between -20° and +20°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical
Bounding Box: Brightness: Between -25% and +25%
Bounding Box: Exposure: Between -25% and +25%
Bounding Box: Blur: Up to 10px