Dataset Versions

v2

2024-06-04 6:33pm

Generated on Jun 4, 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.
Other Formats
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Dataset Split

Train Set 82%
3372Images
Valid Set 13%
544Images
Test Set 4%
173Images

Preprocessing

Resize: Stretch to 1000x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Saturation: Between -55% and +55%
Noise: Up to 6.04% of pixels
Cutout: 12 boxes with 12% size each