Dataset Versions

v4

2023-06-02 3:09pm

Generated on Jun 2, 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 82%
3418Images
Valid Set 12%
487Images
Test Set 6%
248Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 2
Crop: 0% Minimum Zoom, 15% Maximum Zoom
Brightness: Between -25% and +25%
Exposure: Between -9% and +9%
Noise: Up to 5% of pixels

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