Dataset Versions

v1

2024-03-14 11:35am

Generated on Mar 14, 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 82%
756Images
Valid Set 12%
108Images
Test Set 6%
54Images

Preprocessing

Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 2
Flip: Horizontal
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Rotation: Between -4° and +4°
Brightness: Between -12% and +12%
Exposure: Between -6% and +6%
Blur: Up to 0.9px
Noise: Up to 0.06% of pixels

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