Dataset Versions

v7

2024-11-17 8:45am

Generated on Nov 16, 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%
1194Images
Valid Set 8%
115Images
Test Set 4%
58Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Exposure: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 0.87% of pixels
Bounding Box: Rotation: Between -12° and +12°

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