Dataset Versions

v13

2024-03-26 12:55pm

Generated on Mar 26, 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 78%
504Images
Valid Set 11%
72Images
Test Set 11%
70Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -12° and +12°
Saturation: Between -25% and +25%
Exposure: Between -12% and +12%
Noise: Up to 1.41% of pixels

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