Dataset Versions

v10

2024-06-20 3:16pm

Generated on Jun 20, 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 86%
1497Images
Valid Set 9%
157Images
Test Set 5%
80Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 624x624
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -9° and +9°
Shear: ±11° Horizontal, ±11° Vertical
Brightness: Between -12% and +12%
Exposure: Between -7% and +7%
Blur: Up to 1.6px

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