Dataset Versions

v2

2023-05-16 8:22pm

Generated on May 16, 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.
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Dataset Split

Train Set 92%
1095Images
Valid Set 4%
46Images
Test Set 4%
46Images

Preprocessing

Auto-Adjust Contrast: Using Contrast Stretching

Augmentations

Outputs per training example: 3
Saturation: Between -50% and +50%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%
Blur: Up to 1px
Noise: Up to 1% of pixels
Bounding Box: Brightness: Between -30% and +30%
Bounding Box: Exposure: Between -10% and +10%
Bounding Box: Blur: Up to 1px

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