Dataset Versions

v6

2024-03-08 1:15am

Generated on Mar 7, 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%
888Images
Valid Set 8%
81Images
Test Set 4%
41Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Hue: Between -39° and +39°
Saturation: Between -42% and +42%
Brightness: Between -21% and +21%
Exposure: Between -12% and +12%
Noise: Up to 1.8% of pixels

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