Dataset Versions

v13

Version2

Generated on Jan 21, 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 93%
837Images
Valid Set 4%
32Images
Test Set 4%
34Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-87% Vertical Region
Resize: Stretch to 400x400

Augmentations

Outputs per training example: 3
Flip: Horizontal
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Crop: 0% Minimum Zoom, 21% Maximum Zoom
Rotation: Between -20° and +20°

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