Dataset Versions

v5

2024-06-09 10:20am

Generated on Jun 9, 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 88%
12897Images
Valid Set 8%
1229Images
Test Set 4%
613Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 512x288
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -5° and +5°
Brightness: Between -15% and +15%
Blur: Up to 2.5px
Noise: Up to 1% of pixels

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