Dataset Versions

v1

2024-04-02 6:15pm

Generated on Apr 2, 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%
258Images
Valid Set 13%
37Images
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, 4% Maximum Zoom
Rotation: Between -6° and +6°
Shear: ±1° Horizontal, ±2° Vertical
Saturation: Between -2% and +2%
Brightness: Between -2% and +2%
Exposure: Between -1% and +1%
Noise: Up to 0.54% of pixels
Cutout: 4 boxes with 1% size each

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