Dataset Versions

v3

2022-07-20 9:30am

Generated on Jul 20, 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 94%
627Images
Valid Set 4%
30Images
Test Set 1%
10Images

Preprocessing

Auto-Orient: Applied
Static Crop: 0-100% Horizontal Region, 13-88% Vertical Region
Resize: Stretch to 416x416

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Hue: Between -20° and +20°
Exposure: Between -25% and +25%
Blur: Up to 5px
Noise: Up to 5% of pixels
Cutout: 6 boxes with 16% size each

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