Dataset Versions

v3

2024-11-19 5:32pm

Generated on Nov 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 92%
5727Images
Valid Set 6%
358Images
Test Set 2%
120Images

Preprocessing

Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 23% Maximum Zoom
Rotation: Between -5° and +5°
Saturation: Between -32% and +32%
Brightness: Between -20% and +20%
Blur: Up to 1.2px
Noise: Up to 1.88% of pixels

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