Dataset Versions

v3

augmented version 1 - ACCURATE

Generated on Mar 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 88%
1512Images
Valid Set 8%
144Images
Test Set 4%
72Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Rotation: Between -10° and +10°
Grayscale: Apply to 10% of images
Hue: Between -25° and +25°
Brightness: Between -20% and +20%
Exposure: Between -15% and +15%
Blur: Up to 1px
Cutout: 6 boxes with 3% size each

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