Dataset Versions

v8

2024-03-22 12:26pm

Generated on Mar 22, 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 88%
1506Images
Valid Set 9%
163Images
Test Set 3%
52Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 17-82% Vertical Region
Resize: Stretch to 320x320
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Saturation: Between -34% and +34%
Exposure: Between -15% and +15%

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