Dataset Versions

v6

Model 3

Generated on Jan 7, 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.
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Dataset Split

Train Set 82%
2538Images
Valid Set 12%
362Images
Test Set 6%
181Images

Preprocessing

Resize: Stretch to 710x710

Augmentations

Outputs per training example: 2
Flip: Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Noise: Up to 5% of pixels

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