Dataset Versions

v1

polygon-224-Augmented

Generated on Mar 5, 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 88%
471Images
Valid Set 8%
44Images
Test Set 4%
23Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x480
Filter Null: Require at least 50% of images to contain annotations.

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Brightness: Between -15% and +15%
Noise: Up to 1.5% of pixels

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