Dataset Versions

v3

2022-06-20 12:38pm

Generated on Jun 20, 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 416x416

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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