Dataset Versions

v4

Generation1 Exported

Generated on Apr 16, 2023

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 71%
438Images
Valid Set 15%
92Images
Test Set 15%
90Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -24° and +24°
Shear: ±17° Horizontal, ±42° Vertical
Brightness: Between -38% and +38%
Exposure: Between -23% and +23%
Noise: Up to 5% of pixels

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