Photo Type Classification Image Dataset
Versions
v1
augmented-v1
Generated on Jan 29, 2022
1080 Total Images
View All ImagesDataset Split
Train Set 97%
1050Images
Valid Set 2%
20Images
Test Set 1%
10Images
Preprocessing
Auto-Orient: Applied
Resize: Fill (with center crop) in 416x416
Augmentations
Outputs per training example: 15
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
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