Dataset Versions

v2

2024-05-03 10:43am

Generated on May 3, 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.
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Dataset Split

Train Set 89%
13776Images
Valid Set 6%
997Images
Test Set 5%
732Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 20% of images
Brightness: Between -65% and +0%
Blur: Up to 3px
Noise: Up to 0.85% of pixels
Cutout: 3 boxes with 10% size each

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