Dataset Versions

v2

2023-03-12 7:36pm

Generated on Mar 12, 2023

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 89%
10990Images
Valid Set 6%
684Images
Test Set 6%
689Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 6 remapped, 0 dropped

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Shear: ±10° Horizontal, ±10° Vertical
Exposure: Between -20% and +20%
Blur: Up to 1px
Noise: Up to 5% of pixels
Cutout: 2 boxes with 30% size each

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