Dataset Versions

v21

2022-05-17 7:28pm

Generated on May 17, 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 82%
2211Images
Valid Set %
0Images
Test Set 18%
501Images

Preprocessing

Static Crop: 11-86% Horizontal Region, 19-94% Vertical Region
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal
Rotation: Between -8° and +8°
Saturation: Between -40% and +40%
Brightness: Between -20% and +20%
Noise: Up to 1% of pixels
Cutout: 9 boxes with 2% size each

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