Dataset Versions

v12

2023-06-11 9:21pm

Generated on Jun 11, 2023

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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 99%
27276Images
Valid Set 1%
362Images
Test Set 0%
12Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 4 remapped, 172 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise
Rotation: Between -7° and +7°
Shear: ±5° Horizontal, ±5° Vertical
Saturation: Between -35% and +35%
Brightness: Between -16% and +16%
Exposure: Between -12% and +12%
Blur: Up to 0.5px
Noise: Up to 6% of pixels

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