Dataset Versions

v2

AllfinalData

Generated on Dec 27, 2021

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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
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Dataset Split

Train Set 87%
975Images
Valid Set 8%
93Images
Test Set 4%
48Images

Preprocessing

Resize: Stretch to 800x600
Grayscale: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Grayscale: Apply to 25% of images
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Noise: Up to 5% of pixels
Bounding Box: Brightness: Between -11% and +11%

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