Dataset Versions

v4

2024-11-15 6:11pm

Generated on Nov 15, 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 87%
5127Images
Valid Set 6%
366Images
Test Set 6%
371Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 640x640
Auto-Adjust Contrast: Using Adaptive Equalization
Modify Classes: 3 remapped, 0 dropped

Augmentations

Outputs per training example: 3
Flip: Horizontal
Saturation: Between -25% and +25%
Brightness: Between -15% and +15%
Blur: Up to 1.3px
Bounding Box: Noise: Up to 0.1% of pixels

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