Dataset Versions

v4

2024-03-15 5:53pm

Generated on Mar 15, 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 87%
3828Images
Valid Set 8%
366Images
Test Set 4%
183Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 2px
Noise: Up to 0.1% of pixels

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