Dataset Versions

v7

2024-06-17 12:07pm

Generated on Jun 17, 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 88%
345Images
Valid Set 8%
32Images
Test Set 4%
16Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080
Auto-Adjust Contrast: Using Contrast Stretching
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Grayscale: Apply to 10% of images
Hue: Between -24° and +24°
Brightness: Between -15% and +15%
Noise: Up to 0.78% of pixels

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