Dataset Versions

v2

2022-10-10 1:27am

Generated on Oct 10, 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.
Other Formats
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Dataset Split

Train Set 91%
9693Images
Valid Set 6%
656Images
Test Set 3%
332Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 416x416
Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Hue: Between -100° and +100°
Saturation: Between -52% and +52%
Bounding Box: Brightness: Between -48% and +48%
Bounding Box: Blur: Up to 10px

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