Dataset Versions

v4

2022-01-10 8:58pm 608 input augmented

Generated on Jan 10, 2022

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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 87%
6189Images
Valid Set 8%
590Images
Test Set 4%
295Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 608x608

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Brightness: Between -25% and +25%