Dataset Versions

v7

2023-07-10 9:56am

Generated on Jul 10, 2023

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%
6393Images
Valid Set 8%
608Images
Test Set 4%
313Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (reflect edges) in 640x640
Modify Classes: 0 remapped, 2 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -6° and +6°
Grayscale: Apply to 10% of images
Hue: Between -125° and +125°
Saturation: Between -69% and +69%
Bounding Box: Crop: 0% Minimum Zoom, 8% Maximum Zoom
Bounding Box: Rotation: Between -9° and +9°
Bounding Box: Shear: ±10° Horizontal, ±10° Vertical
Bounding Box: Brightness: Between -9% and +0%