Dataset Versions

v10

PRE-CONTEST 10

Generated on Oct 22, 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 92%
10650Images
Valid Set 8%
886Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416

Augmentations

Outputs per training example: 3
Brightness: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 0.1% of pixels

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