Dataset Versions

v12

2024-06-24 4:01pm

Generated on Jun 24, 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 90%
522Images
Valid Set 8%
45Images
Test Set 3%
16Images

Preprocessing

Resize: Fit (black edges) in 1024x1024
Auto-Adjust Contrast: Using Contrast Stretching

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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