Dataset Versions

v1

2022-07-13 5:15pm

Generated on Jul 13, 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 87%
78Images
Valid Set 8%
7Images
Test Set 6%
5Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Hue: Between -25° and +25°
Saturation: Between -20% and +20%
Brightness: Between -25% and +25%
Exposure: Between -11% and +11%
Blur: Up to 1px
Noise: Up to 2% of pixels
Cutout: 5 boxes with 1% size each

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