Dataset Versions

v6

2022-11-27 6:36am

Generated on Nov 27, 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 94%
15372Images
Valid Set 4%
626Images
Test Set 2%
317Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 7
Brightness: Between -25% and +25%
Blur: Up to 1.75px
Noise: Up to 10% of pixels
Cutout: 4 boxes with 6% size each

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