Dataset Versions

v11

version 11

Generated on Nov 10, 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
Choose another format.

Dataset Split

Train Set 88%
9054Images
Valid Set 8%
808Images
Test Set 4%
406Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (white edges) in 1000x1000
Auto-Adjust Contrast: Using Contrast Stretching
Filter Null: Require at least 69% of images to contain annotations.

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Hue: Between -24° and +24°
Saturation: Between -33% and +33%
Brightness: Between -14% and +14%
Exposure: Between -14% and +14%
Blur: Up to 4.5px
Noise: Up to 1.95% of pixels

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