Dataset Versions

v8

2024-06-25 6:22pm

Generated on Jun 25, 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 88%
7539Images
Valid Set 8%
718Images
Test Set 4%
359Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Rotation: Between -2° and +2°
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -12% and +12%
Noise: Up to 0.1% of pixels

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