Dataset Versions

v2

2023-11-29 12:33am

Generated on Nov 29, 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 87%
693Images
Valid Set 8%
67Images
Test Set 4%
33Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 13% Maximum Zoom
Grayscale: Apply to 10% of images
Hue: Between -14° and +14°
Saturation: Between -10% and +10%
Brightness: Between -10% and +10%
Exposure: Between -9% and +9%
Blur: Up to 0.75px
Noise: Up to 3% of pixels
Cutout: 4 boxes with 7% size each

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