Dataset Versions

v26

bullshark

Generated on Oct 6, 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%
1896Images
Valid Set 12%
286Images
Test Set 6%
137Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 640x480

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -20° and +20°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1px
Noise: Up to 5% of pixels
Cutout: 8 boxes with 4% size each
Bounding Box: Rotation: Between -5° and +5°

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