Dataset Versions

v7

final_minne_1280

Generated on Feb 10, 2023

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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 97%
3519Images
Valid Set 3%
92Images
Test Set 0%
10Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x1280
Modify Classes: 1 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Shear: ±25° Horizontal, ±25° Vertical
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Noise: Up to 5% of pixels
Mosaic: Applied

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