Dataset Versions

v3

Augmentations

Generated on Oct 2, 2024

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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 90%
12213Images
Valid Set 7%
921Images
Test Set 3%
411Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 1% Minimum Zoom, 3% Maximum Zoom
Rotation: Between -6° and +6°
Shear: ±7° Horizontal, ±7° Vertical
Grayscale: Apply to 5% of images
Hue: Between -9° and +9°
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%
Exposure: Between -13% and +13%
Blur: Up to 0.5px
Noise: Up to 0.54% of pixels
Bounding Box: Brightness: Between -2% and +2%
Bounding Box: Exposure: Between -2% and +2%
Bounding Box: Noise: Up to 0.1% of pixels

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