Dataset Versions

v11

2024-03-21 10:44am

Generated on Mar 21, 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 97%
363Images
Valid Set 2%
7Images
Test Set 1%
3Images

Preprocessing

Auto-Orient: Applied
Static Crop: 10-75% Horizontal Region, 0-100% Vertical Region
Resize: Stretch to 720x720

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Shear: ±5° Horizontal, ±5° Vertical
Exposure: Between -10% and +10%
Noise: Up to 1.05% of pixels

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