Dataset Versions

v11

2024-02-28 11:45pm

Generated on Feb 28, 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 87%
7752Images
Valid Set 9%
788Images
Test Set 4%
372Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Tile: 2 rows x 2 columns

Augmentations

Outputs per training example: 3
Grayscale: Apply to 10% of images
Hue: Between -5° and +5°
Saturation: Between -5% and +5%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%
Blur: Up to 1px
Noise: Up to 0.5% of pixels

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