Dataset Versions

v5

2024-03-31 12:48am

Generated on Mar 30, 2024

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 88%
300Images
Valid Set 8%
28Images
Test Set 4%
14Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 15-85% Vertical Region
Resize: Fill (with center crop) in 240x240

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 45% Maximum Zoom
Exposure: Between -10% and +10%
Blur: Up to 1px

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