p_eine_Klasse Dataset

v1

2022-10-27 4:25pm

Generated on Oct 27, 2022

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.

Dataset Split

Train Set 88%
11289Images
Valid Set 8%
1075Images
Test Set 4%
537Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1440x1440

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 11% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±15° Horizontal, ±15° Vertical
Grayscale: Apply to 4% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -3% and +3%
Blur: Up to 0.25px
Noise: Up to 0% of pixels