Dataset Versions

v5

2024-08-31 8:28am

Generated on Aug 31, 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%
2157Images
Valid Set 8%
190Images
Test Set 2%
57Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 320x320

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Rotation: Between -45° and +45°
Shear: ±14° Horizontal, ±15° Vertical
Grayscale: Apply to 10% of images
Brightness: Between -25% and +25%
Blur: Up to 2.5px

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