Dataset Versions

v5

2024-05-19 12:56pm

Generated on May 19, 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.
Other Formats
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Dataset Split

Train Set 82%
6940Images
Valid Set 12%
1015Images
Test Set 6%
512Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 2
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 4.5px
Noise: Up to 1.64% of pixels

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