Dataset Versions

v3

mounted_pics_picam

Generated on Jun 26, 2024

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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 84%
228Images
Valid Set 12%
32Images
Test Set 4%
12Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -7° and +7°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -20% and +20%
Brightness: Between -10% and +10%
Exposure: Between -10% and +10%
Blur: Up to 3px
Noise: Up to 0.14% of pixels

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