Dataset Versions

v2

2024-03-31 10:20pm

Generated on Mar 31, 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 89%
1611Images
Valid Set 10%
173Images
Test Set 2%
28Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -12° and +12°
Shear: ±14° Horizontal, ±15° Vertical
Saturation: Between -37% and +37%
Brightness: Between -17% and +17%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.26% of pixels

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