Dataset Versions

v10

2024-10-30 12:45pm

Generated on Oct 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 93%
2004Images
Valid Set %
0Images
Test Set 7%
162Images

Preprocessing

Auto-Orient: Applied
Static Crop: 15-89% Horizontal Region, 14-83% Vertical Region

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -10° and +10°
Shear: ±10° Horizontal, ±10° Vertical
Brightness: Between -20% and +20%
Blur: Up to 2.5px

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