Dataset Versions

v7

2024-03-10 1:18pm

Generated on Mar 10, 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%
306Images
Valid Set 8%
29Images
Test Set 4%
15Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Rotation: Between -40° and +40°
Shear: ±15° Horizontal, ±15° Vertical
Blur: Up to 1.9px
Bounding Box: Noise: Up to 1.05% of pixels

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