Dataset Versions

v2

2022-05-31 11:19am

Generated on May 31, 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%
720Images
Valid Set 12%
107Images
Test Set 6%
53Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Grayscale: Applied

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Saturation: Between -33% and +33%
Brightness: Between -32% and +32%
Exposure: Between -20% and +20%
Blur: Up to 1.5px
Noise: Up to 5% of pixels

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