Photo Type Classification Image Dataset

test2-newClassificationVisualization

Version 5
Generated Jun 23, 2022

Train / Test Split

Training Set

97
2.8k
images

Validation Set

2
54
images

Testing Set

1
27
images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 416x416
Augmentations
Outputs per training example: 15
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -5° and +5°
Grayscale: Apply to 5% of images
Hue: Between -10° and +10°
Exposure: Between -10% and +10%
Blur: Up to 1px
Details
Version Name: test2-newClassificationVisualization
Version ID: 5
Generated: Jun 23, 2022
Annotation Group: photos