Dataset Versions

v4

demo1000img

Generated on Sep 12, 2022

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 88%
2019Images
Valid Set 8%
180Images
Test Set 4%
100Images

Preprocessing

Auto-Orient: Applied
Static Crop: 24-75% Horizontal Region, 0-100% Vertical Region
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Shear: ±37° Horizontal, ±35° Vertical
Brightness: Between -32% and +32%

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