Dataset Versions

v4

320

Generated on Jun 21, 2022

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 82%
7287Images
Valid Set 14%
1209Images
Test Set 5%
406Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Saturation: Between -5% and +5%
Brightness: Between -20% and +20%
Exposure: Between -5% and +5%
Blur: Up to 0.75px
Noise: Up to 1% of pixels

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