Dataset Versions

v8

2023-05-18 10:00am

Generated on May 18, 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 87%
4227Images
Valid Set 8%
398Images
Test Set 5%
218Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Hue: Between -80° and +80°
Saturation: Between -46% and +46%
Brightness: Between -25% and +25%
Exposure: Between -8% and +8%
Cutout: 8 boxes with 4% size each

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