Dataset Versions

v2

2023-05-23 4:13pm

Generated on May 23, 2023

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 86%
279Images
Valid Set 8%
25Images
Test Set 6%
21Images

Preprocessing

Auto-Orient: Applied

Augmentations

Outputs per training example: 3
Rotation: Between -25° and +25°
Shear: ±25° Horizontal, ±25° Vertical
Hue: Between -10° and +10°
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Blur: Up to 5px
Cutout: 7 boxes with 5% size each

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