Dataset Versions

v1

2024-01-30 4:47pm

Generated on Jan 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 87%
1098Images
Valid Set 8%
105Images
Test Set 4%
52Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-74% Horizontal Region, 25-73% Vertical Region
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical

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