Dataset Versions

v1

2024-07-08 2:14pm

Generated on Jul 8, 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 85%
1980Images
Valid Set 11%
260Images
Test Set 3%
80Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Grayscale: Apply to 25% of images
Hue: Between -22° and +22°
Saturation: Between -34% and +34%
Brightness: Between -24% and +24%
Blur: Up to 4.8px
Noise: Up to 1.92% of pixels

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