Dataset Versions

v2

2024-06-22 10:54am

Generated on Jun 22, 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 92%
171Images
Valid Set 5%
10Images
Test Set 2%
4Images

Preprocessing

Auto-Orient: Applied
Grayscale: Applied

Augmentations

Outputs per training example: 3
Flip: Horizontal, Vertical
90° Rotate: Clockwise, Counter-Clockwise
Grayscale: Apply to 24% of images
Saturation: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 4.6px
Noise: Up to 1.88% of pixels

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