Dataset Versions

v2

2022-10-25 3:38pm

Generated on Oct 25, 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.
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Dataset Split

Train Set 85%
165Images
Valid Set 7%
13Images
Test Set 9%
17Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-70% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise
Noise: Up to 5% of pixels
Mosaic: Applied

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