Dataset Versions

v3

2024-02-07 12:08pm

Generated on Feb 7, 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 89%
414Images
Valid Set 6%
30Images
Test Set 4%
19Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Shear: ±10° Horizontal, ±10° Vertical
Blur: Up to 1.3px
Noise: Up to 0.1% of pixels
Cutout: 10 boxes with 1% size each

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