Dataset Versions

v6

2024-05-14 9:09pm

Generated on May 14, 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 94%
1036Images
Valid Set 4%
43Images
Test Set 2%
20Images

Preprocessing

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

Augmentations

Outputs per training example: 7
90° Rotate: Clockwise, Counter-Clockwise
Saturation: Between -16% and +16%
Noise: Up to 1.01% of pixels

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