Dataset Versions

v2

2022-10-25 3:12am

Generated on Oct 24, 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 86%
614Images
Valid Set 6%
41Images
Test Set 9%
61Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Modify Classes: 2 remapped, 0 dropped

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -5° and +5°
Saturation: Between -20% and +20%
Exposure: Between -10% and +10%
Noise: Up to 2% of pixels

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