Dataset Versions

v7

2024-09-30 9:14pm

Generated on Sep 30, 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 82%
5636Images
Valid Set 12%
800Images
Test Set 6%
404Images

Preprocessing

Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1.5px
Noise: Up to 1.33% of pixels

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