Dataset Versions

v2

2024-03-19 11:43am

Generated on Mar 19, 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 87%
4200Images
Valid Set 6%
302Images
Test Set 7%
343Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Shear: ±20° Horizontal, ±35° Vertical
Brightness: Between -15% and +15%
Noise: Up to 1.05% of pixels

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