Dataset Versions

v5

2024-09-18 5:00pm

Generated on Sep 18, 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 87%
2310Images
Valid Set 9%
252Images
Test Set 4%
101Images

Preprocessing

Resize: Stretch to 480x480
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 2
Flip: Horizontal, Vertical
Brightness: Between -15% and +15%
Blur: Up to 2.2px
Noise: Up to 1.89% of pixels
Cutout: 9 boxes with 10% size each

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