Dataset Versions

v9

2025-01-06 2:00pm

Generated on Jan 6, 2025

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 94%
6454Images
Valid Set 4%
264Images
Test Set 2%
130Images

Preprocessing

Static Crop: 20-75% Horizontal Region, 0-100% Vertical Region
Auto-Adjust Contrast: Using Histogram Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 7
Brightness: Between -15% and +15%
Noise: Up to 1.17% of pixels

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