Dataset Versions

v5

2024-11-20 8:39pm

Generated on Nov 20, 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.
Other Formats
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Dataset Split

Train Set 77%
888Images
Valid Set 20%
235Images
Test Set 3%
33Images

Preprocessing

Resize: Stretch to 800x800

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -11% and +11%
Blur: Up to 1.3px
Noise: Up to 0.54% of pixels

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