Dataset Versions

v12

2022-10-10 2:50pm

Generated on Oct 10, 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 75%
384Images
Valid Set 18%
90Images
Test Set 8%
40Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x512
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Saturation: Between -10% and +10%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 1px
Cutout: 3 boxes with 10% size each
Mosaic: Applied

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