Dataset Versions

v1

2024-10-23 9:03am

Generated on Oct 23, 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.
Other Formats
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Dataset Split

Train Set 92%
9837Images
Valid Set 4%
406Images
Test Set 4%
415Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 29% Maximum Zoom
Rotation: Between -6° and +6°
Shear: ±10° Horizontal, ±10° Vertical
Saturation: Between -29% and +29%
Brightness: Between -18% and +18%
Exposure: Between -14% and +14%
Blur: Up to 1.8px

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