Dataset Versions

v4

60_20_202times

Generated on Sep 18, 2021

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%
744Images
Valid Set 12%
123Images
Test Set 12%
123Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 2
Saturation: Between -18% and +18%
Brightness: Between -17% and +17%
Blur: Up to 2.5px

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