Dataset Versions

v12

Modelo 8 - 2024-04-10 6-49pm - 100 Epochs

Generated on Apr 10, 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 87%
5364Images
Valid Set 8%
514Images
Test Set 4%
256Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-90% Horizontal Region, 10-90% Vertical Region
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Blur: Up to 2px
Cutout: 10 boxes with 10% size each

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