Dataset Versions

v4

2023-02-01 2:30am

Generated on Feb 1, 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 82%
1982Images
Valid Set 11%
276Images
Test Set 6%
146Images

Preprocessing

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

Augmentations

Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Hue: Between -15掳 and +15掳
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -20% and +20%

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