Dataset Versions

v2

2023-05-30 2:30pm

Generated on May 30, 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 92%
4659Images
Valid Set 8%
400Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 720x480

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -5° and +5°
Saturation: Between -15% and +15%
Brightness: Between 0% and +15%
Cutout: 5 boxes with 5% size each
Mosaic: Applied

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