Dataset Versions

v7

red_button3_A

Generated on Dec 1, 2021

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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 87%
561Images
Valid Set 8%
53Images
Test Set 4%
28Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Rotation: Between -19° and +19°
Shear: ±10° Horizontal, ±11° Vertical
Saturation: Between -25% and +25%
Brightness: Between -44% and +44%
Bounding Box: Rotation: Between -5° and +5°

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