Dataset Versions

v16

TrainingSet3

Generated on Mar 3, 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 83%
13800Images
Valid Set 8%
1391Images
Test Set 8%
1391Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
Rotation: Between -4° and +4°
Blur: Up to 1.2px
Noise: Up to 1% of pixels

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