Dataset Versions

v39

2024-11-13 6:01pm

Generated on Nov 13, 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 81%
84Images
Valid Set 19%
20Images
Test Set %
0Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 12-100% Vertical Region
Resize: Stretch to 1024x1024

Augmentations

Outputs per training example: 3
Shear: ±3° Horizontal, ±3° Vertical
Hue: Between -15° and +15°
Noise: Up to 1.05% of pixels

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