Dataset Versions

v4

2024-08-16 4:03am

Generated on Aug 16, 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 85%
429Images
Valid Set 8%
38Images
Test Set 7%
36Images

Preprocessing

Auto-Orient: Applied
Resize: Fit within 640x640

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
Crop: 0% Minimum Zoom, 20% Maximum Zoom
Grayscale: Apply to 24% of images
Hue: Between -24° and +24°
Saturation: Between -33% and +33%
Brightness: Between -24% and +24%

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