Dataset Versions

v18

2024-06-16 10:06am

Generated on Jun 16, 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 87%
1503Images
Valid Set 8%
142Images
Test Set 4%
75Images

Preprocessing

No preprocessing steps were applied.

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Grayscale: Apply to 10% of images
Brightness: Between 0% and +15%
Exposure: Between -5% and +5%
Blur: Up to 1.4px
Noise: Up to 0.41% of pixels

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