Dataset Versions

v4

2023-09-09 6:10pm

Generated on Sep 9, 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 85%
138Images
Valid Set 10%
16Images
Test Set 5%
8Images

Preprocessing

Resize: Fit (black edges) in 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Noise: Up to 5% of pixels
Bounding Box: Rotation: Between -10° and +10°
Bounding Box: Shear: ±7° Horizontal, ±8° Vertical

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