Dataset Versions

v1

2023-11-27 11:46am

Generated on Nov 27, 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%
1167Images
Valid Set 8%
111Images
Test Set 4%
55Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 4% Maximum Zoom
Rotation: Between -3° and +3°
Grayscale: Apply to 2% of images
Hue: Between -25° and +25°
Saturation: Between -19% and +19%
Brightness: Between 0% and +25%
Exposure: Between -6% and +6%
Blur: Up to 0.5px
Bounding Box: Blur: Up to 0.75px

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