Dataset Versions

v5

2022-09-26 2:38pm

Generated on Sep 26, 2022

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 85%
1776Images
Valid Set 9%
196Images
Test Set 5%
110Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 192x192

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 5% Maximum Zoom
Rotation: Between -6° and +6°
Hue: Between -10° and +10°
Saturation: Between -11% and +11%
Brightness: Between -9% and +9%
Exposure: Between -5% and +5%
Blur: Up to 0.5px
Cutout: 2 boxes with 4% size each
Bounding Box: Brightness: Between -4% and +4%
Bounding Box: Exposure: Between -6% and +6%
Bounding Box: Blur: Up to 0.5px

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