Dataset Versions

v6

2024-09-11 4:07am

Generated on Sep 11, 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 88%
5658Images
Valid Set 8%
539Images
Test Set 4%
269Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Grayscale: Apply to 15% of images
Brightness: Between -25% and +25%
Blur: Up to 0.7px

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