Dataset Versions

v5

2024-08-10 5:02am

Generated on Aug 10, 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%
987Images
Valid Set 21%
291Images
Test Set 8%
110Images

Preprocessing

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

Augmentations

Outputs per training example: 3
Saturation: Between -10% and +10%
Brightness: Between -20% and +20%
Blur: Up to 0.6px
Noise: Up to 1.05% of pixels

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