v19

2024-08-12 11:30am

Generated on Aug 12, 2024

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.
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Dataset Split

Train Set 87%
300Images
Valid Set 10%
35Images
Test Set 3%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -7° and +7°
Grayscale: Apply to 24% of images
Hue: Between -15° and +15°
Saturation: Between -25% and +25%
Brightness: Between -23% and +23%
Exposure: Between -10% and +10%
Blur: Up to 0.8px
Noise: Up to 0.04% of pixels