Dataset Versions

v5

2024-11-10 6:25am

Generated on Nov 10, 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%
678Images
Valid Set 8%
62Images
Test Set 4%
32Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 800x800

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Grayscale: Apply to 7% of images
Brightness: Between -13% and +13%
Blur: Up to 1.8px
Noise: Up to 0.1% of pixels

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