Dataset Versions

v2

2021-12-07 9:44am

Generated on Dec 7, 2021

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 87%
3174Images
Valid Set 9%
322Images
Test Set 4%
147Images

Preprocessing

Auto-Orient: Applied
Isolate Objects: Applied
Resize: Fit (black edges) in 1024x1024
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
90° Rotate: Clockwise, Counter-Clockwise, Upside Down
Rotation: Between -45° and +45°
Saturation: Between -29% and +29%
Exposure: Between -25% and +25%

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