Dataset Versions

v13

2022-05-30 9:09pm

Generated on May 30, 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%
4042Images
Valid Set 18%
982Images
Test Set 7%
351Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Brightness: Between -2% and +2%
Blur: Up to 1.75px
Noise: Up to 3% of pixels

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