Dataset Versions

v6

0608_1

Generated on Jun 7, 2022

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 90%
2568Images
Valid Set 8%
224Images
Test Set 2%
46Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -6° and +6°
Saturation: Between -40% and +40%
Brightness: Between -25% and +25%
Exposure: Between -15% and +15%
Noise: Up to 1% of pixels

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