Dataset Versions

v8

image_dt01

Generated on Aug 28, 2024

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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 70%
12876Images
Valid Set 15%
2734Images
Test Set 15%
2712Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 6% Maximum Zoom
Rotation: Between -5° and +5°
Brightness: Between -15% and +15%
Blur: Up to 0.5px
Noise: Up to 0.22% of pixels

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