Dataset Versions

v3

2023-07-10 10:38am

Generated on Jul 10, 2023

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%
1050Images
Valid Set 8%
99Images
Test Set 4%
54Images

Preprocessing

Static Crop: 18-58% Horizontal Region, 12-92% Vertical Region
Auto-Adjust Contrast: Using Adaptive Equalization
Grayscale: Applied

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 16% Maximum Zoom
Brightness: Between -50% and +50%
Blur: Up to 1.5px

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