Dataset Versions

v1

2022-10-14 6:29pm

Generated on Oct 14, 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%
2217Images
Valid Set 6%
144Images
Test Set 4%
101Images

Preprocessing

Auto-Orient: Applied
Resize: Stretch to 1920x1080
Auto-Adjust Contrast: Using Histogram Equalization
Modify Classes: 0 remapped, 1 dropped

Augmentations

Outputs per training example: 3
Rotation: Between -17° and +17°
Grayscale: Apply to 30% of images
Saturation: Between -25% and +25%
Brightness: Between -25% and +25%
Exposure: Between -10% and +10%

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