Dataset Versions

v3

2022-05-06 10:57am

Generated on May 6, 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 39%
12Images
Valid Set 48%
15Images
Test Set 13%
4Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Exposure: Between -18% and +18%
Noise: Up to 3% of pixels
Cutout: 25 boxes with 2% size each
Bounding Box: Brightness: Between -75% and +75%
Bounding Box: Blur: Up to 12.75px

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