Dataset Versions

v3

2024-09-13 3:18pm

Generated on Sep 13, 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 90%
9825Images
Valid Set 5%
590Images
Test Set 4%
445Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 8% Minimum Zoom, 21% Maximum Zoom
Rotation: Between -5° and +5°
Saturation: Between -29% and +29%
Exposure: Between -11% and +11%
Blur: Up to 0.3px
Cutout: 4 boxes with 10% size each

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