Dataset Versions

v1

600_FIRST

Generated on Mar 24, 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%
1251Images
Valid Set 8%
120Images
Test Set 4%
60Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Hue: Between -10° and +10°
Saturation: Between -15% and +15%
Brightness: Between -15% and +15%
Noise: Up to 0.06% of pixels

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