Dataset Versions

v5

2023-06-25 9:27pm

Generated on Jun 26, 2023

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.
Other Formats
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Dataset Split

Train Set 83%
1809Images
Valid Set 12%
251Images
Test Set 6%
120Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -5° and +5°
Grayscale: Apply to 10% of images
Brightness: Between -25% and +25%
Blur: Up to 0.5px
Noise: Up to 1% of pixels
Bounding Box: Blur: Up to 0.5px
Bounding Box: Noise: Up to 1% of pixels

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