Dataset Versions

v2

2023-11-22 2:10pm

Generated on Nov 22, 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 82%
3968Images
Valid Set 12%
562Images
Test Set 6%
282Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
90° Rotate: Clockwise
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±18° Horizontal, ±25° Vertical
Grayscale: Apply to 30% of images
Saturation: Between -25% and +25%
Brightness: Between -38% and +38%
Blur: Up to 2.5px
Noise: Up to 6% of pixels

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