Dataset Versions

v3

2024-03-27 9:25pm

Generated on Mar 27, 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 75%
42Images
Valid Set 25%
14Images
Test Set %
0Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 1% Maximum Zoom
Rotation: Between -5° and +5°
Shear: ±1° Horizontal, ±1° Vertical
Saturation: Between -2% and +2%
Brightness: Between -1% and +1%
Noise: Up to 0.18% of pixels
Cutout: 3 boxes with 2% size each

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