Dataset Versions

v2

2022-07-29 2:02pm

Generated on Jul 29, 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 88%
10089Images
Valid Set 8%
896Images
Test Set 4%
450Images

Preprocessing

Modify Classes: 34 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -45° and +45°
Exposure: Between -20% and +20%
Blur: Up to 3px
Noise: Up to 5% of pixels
Cutout: 12 boxes with 10% size each

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