Dataset Versions

v7

2024-09-22 8:14pm

Generated on Sep 22, 2024

Popular Download Formats

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%
15651Images
Valid Set 6%
1138Images
Test Set 7%
1184Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Saturation: Between -5% and +5%
Blur: Up to 0.4px
Noise: Up to 0.94% of pixels

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