Dataset Versions

v2

2024-03-22 5:04pm

Generated on Mar 22, 2024

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.
Other Formats
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Dataset Split

Train Set 87%
1203Images
Valid Set 8%
115Images
Test Set 5%
63Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1280x840

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Blur: Up to 2px
Cutout: 6 boxes with 10% size each

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