Dataset Versions

v3

2024-10-04 7:32am

Generated on Oct 4, 2024

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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 100%
276Images
Valid Set %
0Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 31-85% Horizontal Region, 7-100% Vertical Region
Resize: Fill (with center crop) in 640x640

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Brightness: Between -15% and +15%

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