Dataset Versions

v3

2024-08-30 4:54am

Generated on Aug 30, 2024

Popular Download Formats

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 88%
2367Images
Valid Set 8%
225Images
Test Set 4%
113Images

Preprocessing

Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Shear: ±6° Horizontal, ±6° Vertical
Exposure: Between -10% and +10%
Noise: Up to 0.42% of pixels

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