Dataset Versions

v5

2023-12-25 10:47pm

Generated on Dec 25, 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.
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Dataset Split

Train Set 82%
2456Images
Valid Set 12%
350Images
Test Set 6%
176Images

Preprocessing

Auto-Orient: Applied
Static Crop: 25-75% Horizontal Region, 25-75% Vertical Region
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Grayscale: Apply to 25% of images
Saturation: Between -25% and +25%
Blur: Up to 2.5px
Bounding Box: Crop: 0% Minimum Zoom, 49% Maximum Zoom
Bounding Box: Rotation: Between -24° and +24°
Bounding Box: Shear: ±15° Horizontal, ±15° Vertical

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