Dataset Versions

v1

2024-04-23 2:59pm

Generated on Apr 23, 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 83%
2324Images
Valid Set 11%
300Images
Test Set 6%
160Images

Preprocessing

Auto-Orient: Applied
Static Crop: 17-80% Horizontal Region, 25-93% Vertical Region
Resize: Stretch to 1222x642
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 2
Flip: Horizontal
Rotation: Between -7° and +7°
Noise: Up to 0.18% of pixels

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