Dataset Versions

v10

2023-12-13 10:53am

Generated on Dec 13, 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.
Other Formats
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Dataset Split

Train Set 87%
7305Images
Valid Set 8%
705Images
Test Set 4%
342Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Upside Down
Crop: 10% Minimum Zoom, 10% Maximum Zoom
Rotation: Between -45° and +45°
Saturation: Between -40% and +40%
Brightness: Between -10% and +10%
Blur: Up to 10px
Noise: Up to 2% of pixels