Dataset Versions

v3

2023-05-25 5:26pm

Generated on May 25, 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.
Other Formats
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Dataset Split

Train Set 87%
207Images
Valid Set 8%
19Images
Test Set 5%
11Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 70% Maximum Zoom
Shear: ±16° Horizontal, ±9° Vertical
Brightness: Between -22% and +22%
Blur: Up to 1px
Noise: Up to 1% of pixels
Cutout: 24 boxes with 3% size each
Mosaic: Applied

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