Dataset Versions

v1

2023-04-17 11:23am

Generated on Apr 17, 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 63%
15Images
Valid Set 21%
5Images
Test Set 17%
4Images

Preprocessing

Auto-Orient: Applied
Static Crop: 30-94% Horizontal Region, 25-87% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 1
Flip: Horizontal
Crop: 0% Minimum Zoom, 19% Maximum Zoom
Grayscale: Apply to 31% of images
Saturation: Between -74% and +74%
Blur: Up to 3.5px
Bounding Box: 90° Rotate: Clockwise, Counter-Clockwise

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