Dataset Versions

v7

2024-07-29 8:18pm

Generated on Jul 29, 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 71%
225Images
Valid Set 20%
63Images
Test Set 9%
29Images

Preprocessing

Auto-Orient: Applied
Resize: Fit (black edges) in 1280x1280

Augmentations

Outputs per training example: 3
Grayscale: Apply to 15% of images
Saturation: Between -16% and +16%
Brightness: Between -12% and +12%
Exposure: Between -10% and +10%
Blur: Up to 0.5px
Noise: Up to 0.18% of pixels

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