Dataset Versions

v2

2024-12-12 10:52pm

Generated on Dec 12, 2024

Popular Download Formats

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%
8984Images
Valid Set 9%
899Images
Test Set 6%
662Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Rotation: Between -10° and +10°
Grayscale: Apply to 10% of images
Noise: Up to 0.1% of pixels

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