Dataset Versions

v9

2022-11-27 11:01am

Generated on Nov 27, 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 84%
366Images
Valid Set 9%
41Images
Test Set 7%
31Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -7° and +7°
Saturation: Between -2% and +2%
Brightness: Between -2% and +2%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Noise: Up to 2% of pixels

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