Dataset Versions

v8

2024-03-16 12:27pm

Generated on Mar 16, 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 74%
144Images
Valid Set 20%
38Images
Test Set 6%
12Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-50% Horizontal Region, 50-100% Vertical Region
Resize: Stretch to 1280x720

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Blur: Up to 1.3px
Noise: Up to 0.49% of pixels

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