Dataset Versions

v1

2024-04-30 12:01am

Generated on Apr 29, 2024

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%
4380Images
Valid Set 8%
417Images
Test Set 4%
209Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 416x416

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 28% Maximum Zoom
Rotation: Between -15° and +15°
Shear: ±15° Horizontal, ±15° Vertical
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%

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