Dataset Versions

v5

2024-11-20 3:35pm

Generated on Nov 20, 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 87%
87Images
Valid Set 9%
9Images
Test Set 4%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 600x800

Augmentations

Outputs per training example: 3
Rotation: Between -3° and +3°
Grayscale: Apply to 15% of images
Saturation: Between -11% and +11%
Brightness: Between -14% and +14%
Exposure: Between -7% and +7%
Blur: Up to 0.9px
Noise: Up to 0.33% of pixels
Cutout: 9 boxes with 6% size each

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