Dataset Versions

v5

fill in 1920-1080

Generated on Sep 2, 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 88%
12968Images
Valid Set 8%
1103Images
Test Set 4%
624Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1920x1080

Augmentations

Outputs per training example: 3
Exposure: Between -6% and +6%
Blur: Up to 1px

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