Dataset Versions

v3

2023-11-16 2:48pm

Generated on Nov 16, 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 88%
804Images
Valid Set 8%
76Images
Test Set 4%
37Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Crop: 0% Minimum Zoom, 50% Maximum Zoom
Rotation: Between -35° and +35°
Saturation: Between -77% and +77%
Brightness: Between -73% and +73%
Exposure: Between -54% and +54%
Blur: Up to 5.75px
Noise: Up to 19% of pixels
Cutout: 25 boxes with 7% size each
Mosaic: Applied

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