Dataset Versions

v12

2023-12-22 4:57pm

Generated on Dec 22, 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
Rotation: Between -5° and +5°
Shear: ±10° Horizontal, ±10° Vertical
Hue: Between -10° and +10°
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Exposure: Between -15% and +15%
Blur: Up to 5px
Noise: Up to 1% of pixels