Dataset Versions

v14

20 img - recentes

Generated on Sep 18, 2023

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 86%
81Images
Valid Set 9%
8Images
Test Set 5%
5Images

Preprocessing

Auto-Orient: Applied
Auto-Adjust Contrast: Using Histogram Equalization

Augmentations

Outputs per training example: 3
Rotation: Between -15° and +15°
Grayscale: Apply to 5% of images
Hue: Between -20° and +20°
Saturation: Between -10% and +10%
Brightness: Between -22% and +22%
Exposure: Between -10% and +10%
Blur: Up to 1px
Cutout: 5 boxes with 2% size each

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