Dataset Versions

v1

2022-11-04 4:28pm

Generated on Nov 4, 2022

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%
5034Images
Valid Set 8%
480Images
Test Set 4%
244Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Exposure: Between -8% and +8%
Blur: Up to 1px
Noise: Up to 3% of pixels
Cutout: 6 boxes with 3% size each
Mosaic: Applied

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