Dataset Versions

v10

2024-06-16 2:06pm

Generated on Jun 16, 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 92%
648Images
Valid Set 4%
27Images
Test Set 4%
27Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 30% Maximum Zoom
Rotation: Between -15° and +15°
Grayscale: Apply to 5% of images
Saturation: Between -34% and +34%
Brightness: Between -18% and +18%
Exposure: Between -15% and +15%
Blur: Up to 2.5px

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