Dataset Versions

v6

v2.1

Generated on May 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%
1041Images
Valid Set 8%
99Images
Test Set 4%
45Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1024x1024

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -15% and +15%
Noise: Up to 0.1% of pixels

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