Dataset Versions

v2

42Type-B

Generated on Sep 30, 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 90%
1167Images
Valid Set 3%
41Images
Test Set 7%
89Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Modify Classes: 30 remapped, 0 dropped

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -8% and +8%
Brightness: Between -10% and +10%
Exposure: Between -5% and +5%

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