Dataset Versions

v13

2024-11-02 11:53am

Generated on Nov 2, 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%
7734Images
Valid Set 8%
736Images
Test Set 4%
367Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal
Crop: 0% Minimum Zoom, 10% Maximum Zoom
Saturation: Between -25% and +25%
Blur: Up to 1.5px
Noise: Up to 1.72% of pixels
Bounding Box: Noise: Up to 1.72% of pixels

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