Dataset Versions

v6

2023-09-17 7:58pm

Generated on Sep 17, 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 82%
1491Images
Valid Set 9%
167Images
Test Set 9%
164Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Saturation: Between -20% and +20%
Brightness: Between -20% and +20%
Exposure: Between -10% and +10%
Bounding Box: Rotation: Between -2° and +2°
Bounding Box: Shear: ±10° Horizontal, ±0° Vertical
Bounding Box: Noise: Up to 2% of pixels

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