Dataset Versions

v7

2023-12-17 6:10pm

Generated on Dec 17, 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 88%
927Images
Valid Set 8%
85Images
Test Set 4%
42Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -25° and +25°
Saturation: Between -20% and +20%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 2px
Noise: Up to 3% of pixels
Cutout: 10 boxes with 1% size each
Mosaic: Applied

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