Dataset Versions

v14

2022-09-27 9:25am

Generated on Sep 27, 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.
Other Formats
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Dataset Split

Train Set 89%
1950Images
Valid Set 8%
168Images
Test Set 4%
83Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 416x416

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 60% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±5° Horizontal, ±5° Vertical
Hue: Between -25° and +25°
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1px

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