Dataset Versions

v1

training dataset v2

Generated on Dec 17, 2021

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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 90%
4860Images
Valid Set 6%
324Images
Test Set 4%
216Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Brightness: Between -25% and +25%
Blur: Up to 1.5px

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