Dataset Versions

v2

2023-09-08 11:59am

Generated on Sep 8, 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 88%
5469Images
Valid Set 8%
519Images
Test Set 4%
256Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 320x240

Augmentations

Outputs per training example: 3
Grayscale: Apply to 100% of images
Hue: Between -40° and +40°
Saturation: Between -25% and +25%
Brightness: Between -30% and +30%
Blur: Up to 0.5px

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