Dataset Versions

v2

2024-05-03 4:10pm

Generated on May 3, 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 83%
1088Images
Valid Set 14%
186Images
Test Set 3%
41Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640

Augmentations

Outputs per training example: 2
Grayscale: Apply to 28% of images
Saturation: Between -43% and +43%
Brightness: Between -34% and +34%
Exposure: Between -12% and +12%
Noise: Up to 1.05% of pixels

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