Dataset Versions

v3

2023-05-06 12:57am

Generated on May 5, 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 80%
225Images
Valid Set 10%
27Images
Test Set 11%
30Images

Preprocessing

Auto-Orient: Applied
Resize: Fill (with center crop) in 1620x1020

Augmentations

Outputs per training example: 3
Grayscale: Apply to 100% of images
Saturation: Between -40% and +40%
Brightness: Between -5% and +5%
Blur: Up to 3.5px
Noise: Up to 25% of pixels

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